Excersize-11
Jessica V
2024-04-09
Here are the packages I will need:
library(ggplot2)
library(dplyr)##
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## intersect, setdiff, setequal, unionlibrary(tidyr)
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library(cowplot)##
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## stamp#Loading and reading data
#Challenge 1
One-Factor ANOVA and Inference Step 1 Make boxplots of log(Mass) in relation to Trophic.Level and Migration behavior type. For each plot, drop from the visualization all species records where the categorical variable of interest is missing from the dataset. Also, you will want to convert the variable Migration (which is scored as a number: “1”, “2”, or “3”) from class numeric to either being classified as a factor or as a character (string) variable.
#Make boxplots of log(Mass) in relation to Trophic.Level and Migration behavior type.
ggplot(data=d |> drop_na(Trophic.Level), aes(x = Trophic.Level, y=log(Mass)))+ geom_boxplot() + geom_jitter( alpha = 0.05)
ggplot(data=d|> drop_na(Migration), aes(x=as.factor(Migration), y=log(Mass)))+geom_boxplot()
#an alternate way below
d <- d |>
mutate(logMass = log(Mass), logRS = log(Range.Size), logBeak = log(Beak.Length_Culmen),
logTarsus = log(Tarsus.Length), Migration = as.factor(Migration))
p1 <- ggplot(data = d |>
drop_na(Trophic.Level), aes(x = Trophic.Level, y = log(Mass))) + geom_boxplot() +
geom_jitter(alpha = 0.05)
plot(p1)
p2 <- ggplot(data = d |>
drop_na(Migration), aes(x = Migration, y = log(Mass))) + geom_boxplot() + geom_jitter(alpha = 0.05)
#plotting the box plots next to eachother
plot_grid(p1, p2, nrow = 1)
Step 2 Run linear models using the lm() function to look at the
relationship between log(Mass) and Trophic.Level and between log(Mass)
and Migration.
Is log(Mass) associated with either Trophic.Level or Migration category? That is, in the global test of significance, is the F statistic large enough to reject the null hypothesis of an F value of zero? Yes, the global test is indeed significant for both Trophi.Level and Migration.
Given the regression coefficients returned for your Migration model, which Migration categor(ies) are different than the reference level? Levels 2 and 3 differ from the reference level. What level is the reference level? The reference level is level 1. Relevel and assess differences among the remaining pair of Migration categories. Levels 2 and 3 differe again after releveling.
m1 <- lm(log (Mass) ~ Trophic.Level, data=d)
m2 <- lm(log(Mass) ~ as.factor(Migration), data = d)
m1##
## Call:
## lm(formula = log(Mass) ~ Trophic.Level, data = d)
##
## Coefficients:
## (Intercept) Trophic.LevelHerbivore Trophic.LevelOmnivore
## 3.80834 0.25639 0.01422
## Trophic.LevelScavenger
## 4.63189m2##
## Call:
## lm(formula = log(Mass) ~ as.factor(Migration), data = d)
##
## Coefficients:
## (Intercept) as.factor(Migration)2 as.factor(Migration)3
## 3.7746 0.7597 0.3765summary(m1)##
## Call:
## lm(formula = log(Mass) ~ Trophic.Level, data = d)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.4229 -1.1551 -0.3028 0.8982 7.5526
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.80834 0.01967 193.632 < 2e-16 ***
## Trophic.LevelHerbivore 0.25639 0.03406 7.528 5.54e-14 ***
## Trophic.LevelOmnivore 0.01422 0.04116 0.345 0.73
## Trophic.LevelScavenger 4.63189 0.34447 13.446 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.538 on 11000 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.02094, Adjusted R-squared: 0.02067
## F-statistic: 78.42 on 3 and 11000 DF, p-value: < 2.2e-16summary(m2)##
## Call:
## lm(formula = log(Mass) ~ as.factor(Migration), data = d)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8924 -1.1769 -0.3088 0.9152 7.8427
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.77457 0.01636 230.710 < 2e-16 ***
## as.factor(Migration)2 0.75971 0.04731 16.059 < 2e-16 ***
## as.factor(Migration)3 0.37647 0.05155 7.303 3.02e-13 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.535 on 10983 degrees of freedom
## (23 observations deleted due to missingness)
## Multiple R-squared: 0.02563, Adjusted R-squared: 0.02546
## F-statistic: 144.5 on 2 and 10983 DF, p-value: < 2.2e-16#Relevel
#MMigration <- as.factor(d$Migration)
#d <- d|> mutate(Migration = relevel (MMigration, ref = "3"))
d <- d|> mutate(Migration = relevel (Migration, ref = "3"))
m2 <- lm(log(Mass) ~ Migration, data = d)
summary(m2)##
## Call:
## lm(formula = log(Mass) ~ Migration, data = d)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8924 -1.1769 -0.3088 0.9152 7.8427
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.15104 0.04889 84.909 < 2e-16 ***
## Migration1 -0.37647 0.05155 -7.303 3.02e-13 ***
## Migration2 0.38324 0.06603 5.804 6.67e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.535 on 10983 degrees of freedom
## (23 observations deleted due to missingness)
## Multiple R-squared: 0.02563, Adjusted R-squared: 0.02546
## F-statistic: 144.5 on 2 and 10983 DF, p-value: < 2.2e-16Step 3 Conduct a post-hoc Tukey Honest Significant Differences test to also evaluate which Migration categories differ “significantly” from one another (see Module 20).
m1aov <- aov(log(Mass) ~Trophic.Level, data=d)
(pairwise.t.test(log(d$Mass), d$Trophic.Level, p.adj = "bonferroni"))##
## Pairwise comparisons using t tests with pooled SD
##
## data: log(d$Mass) and d$Trophic.Level
##
## Carnivore Herbivore Omnivore
## Herbivore 3.3e-13 - -
## Omnivore 1 6.7e-07 -
## Scavenger < 2e-16 < 2e-16 < 2e-16
##
## P value adjustment method: bonferroni(posthoc <- TukeyHSD (m1aov, which= "Trophic.Level", conf.level = 0.95))## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = log(Mass) ~ Trophic.Level, data = d)
##
## $Trophic.Level
## diff lwr upr p adj
## Herbivore-Carnivore 0.25638774 0.16888205 0.3438934 0.0000000
## Omnivore-Carnivore 0.01422185 -0.09154436 0.1199881 0.9858317
## Scavenger-Carnivore 4.63188503 3.74679736 5.5169727 0.0000000
## Omnivore-Herbivore -0.24216589 -0.35936711 -0.1249647 0.0000007
## Scavenger-Herbivore 4.37549729 3.48897045 5.2620241 0.0000000
## Scavenger-Omnivore 4.61766318 3.72914808 5.5061783 0.0000000#(posthoc <- TukeyHSD (m1aov, which= "Migration", conf.level = 0.95))
plot(posthoc)
m2 <- aov(log(Mass) ~ Migration, data = d)
(posthoc <- TukeyHSD(m2, which = "Migration", conf.level = 0.95))## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = log(Mass) ~ Migration, data = d)
##
## $Migration
## diff lwr upr p adj
## 1-3 -0.3764693 -0.4973105 -0.2556282 0
## 2-3 0.3832374 0.2284536 0.5380211 0
## 2-1 0.7597067 0.6488157 0.8705977 0plot(posthoc)
Step 4
Use a permutation approach to inference to generate a null distribution of F statistic values for the model of log(Mass) in relation to Trophic.Level and calculate a p value for your original F statistic. You can do this either by programming your own permutation test (e.g., by shuffling values for the predictor or response variable among observations and calculating an F statistic for each replicate) or by using the {infer} workflow and setting calculate(stat=“F”).
library(broom)
original.F <- aov(log(Mass) ~Trophic.Level, data=d) |>
tidy() |>
filter(term== "Trophic.Level")|>
pull(statistic)
original.F## [1] 78.42283#by using infer
library(infer)
d <-d|> mutate(logMass = log(Mass))
permuted.F <-d|>
specify(logMass ~Trophic.Level)|>
hypothesize(null = "independence") |>
generate(reps = 1000, type = "permute") |>
calculate(stat ="F")## Warning: Removed 5 rows containing missing values.visualize(permuted.F) + shade_p_value(obs_stat = original.F, direction = "greater")## Warning in (function (mapping = NULL, data = NULL, stat = "identity", position = "identity", : All aesthetics have length 1, but the data has 1000 rows.
## ℹ Did you mean to use `annotate()`?## Warning in min(diff(unique_loc)): no non-missing arguments to min; returning Inf
p_value<- permuted.F|> get_p_value(obs_stat = original.F, direction = "greater")## Warning: Please be cautious in reporting a p-value of 0. This result is an approximation
## based on the number of `reps` chosen in the `generate()` step.
## ℹ See `get_p_value()` (`?infer::get_p_value()`) for more information.#original.F$p.value
#permuted.F <- as_tibble(permuted.F) |>
# rename(stat = "result")
p.value <- permuted.F |>
get_p_value(obs_stat = original.F, direction = "greater")## Warning: Please be cautious in reporting a p-value of 0. This result is an approximation
## based on the number of `reps` chosen in the `generate()` step.
## ℹ See `get_p_value()` (`?infer::get_p_value()`) for more information.p.value## # A tibble: 1 × 1
## p_value
## <dbl>
## 1 0#Challenge 2
Data Wrangling, One- and Two-Factor ANOVA
Step 1 Create the following two new variables and add them to AVONET dataset: Relative beak length, which you should calculate as the residual of log(Beak.Length_Culmen) on log(Mass). Relative tarsus length, which you should calculate as the residual of log(Tarsus.Length) on log(Mass).
d$relBL <-resid(lm(formula=log(Beak.Length_Culmen)~log(Mass), data=d))
d$relTL <-resid(lm(log(Tarsus.Length)~log(Mass),data=d))
relBeak <- d$relBL
relTarsus <- d$relTLStep 2 Make a boxplot or violin plot of your new relative tarsus length variable in relation to Primary.Lifestyle and of your new relative beak length variable in relation to Trophic.Niche
plot1 <- ggplot(d|>filter(!is.na(Primary.Lifestyle)),aes(x=Primary.Lifestyle, y=relTL))+
geom_boxplot()+
theme(axis.text.x=element_text(angle=90, hjust=1))+
geom_jitter(alpha=0.05)
plot(plot1)
plot2 <- ggplot(data=d |> filter (!is.na(Trophic.Niche)), aes(x=Trophic.Niche, y = relBL))+
geom_boxplot()+
theme(axis.text.x=element_text(angle=90)) +
geom_jitter(alpha=0.05)
plot(plot2)
#if you want to plot both next to eachother
plot_grid(plot1, plot2, nrow =1)
Step 3 Run an ANOVA analyses to look at the association between geographic range size and the variable Migration. You should first drop those observations for which Migration is not scored and also look at the distribution of the variable Range.Size to decide whether and how it might need to be transformed. Based on the global model, is range size associated with form of migration? How much of the variance in your measure of range size is associated with Migration behavior style?
Given the regression coefficients returned in output of the model, which Migration categor(ies) are different than the reference level? levels 1 and 2 are different from Migration level 3.
What level is the reference level? level 3 is the refernec level
Relevel and assess differences among the remaining pair of Migration categories. Also conduct a post-hoc Tukey Honest Significant Differences test to also evaluate which Migration categories differ “significantly” from one another (see Module 20).
library(mosaic)## Registered S3 method overwritten by 'mosaic':
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## quantile, sd, t.test, var## The following objects are masked from 'package:base':
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## max, mean, min, prod, range, sample, summ<-aov(Range.Size~as.factor(Migration), data=d)
summary(m)## Df Sum Sq Mean Sq F value Pr(>F)
## as.factor(Migration) 2 5.331e+16 2.666e+16 499.1 <2e-16 ***
## Residuals 10934 5.840e+17 5.341e+13
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 72 observations deleted due to missingnessTukeyHSD(m)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Range.Size ~ as.factor(Migration), data = d)
##
## $`as.factor(Migration)`
## diff lwr upr p adj
## 1-3 -5948065.8 -6525065 -5371066.7 0.0000000
## 2-3 -780559.2 -1519665 -41453.6 0.0355345
## 2-1 5167506.6 4638082 5696930.7 0.0000000#Here we drop migration
migration <- d |>
drop_na(Migration)
histogram(migration$Range.Size)
plot(histogram(migration$Range.Size))
logRS <- log(d$Range.Size)
logRS## [1] 10.53106128 16.92345362 16.47644828 10.47955892 14.89281470 5.79252568
## [7] 14.55573292 15.51819096 12.44219307 15.94292491 10.78208306 15.17772022
## [13] 15.91722676 13.16056205 17.27419890 11.85370939 15.38114389 10.41964185
## [19] 9.70440166 10.03371945 12.98227269 13.58549043 9.21534881 10.26864234
## [25] 13.07425975 11.65659230 16.02016222 12.50300335 15.73160659 11.61256263
## [31] 16.97682546 14.40721581 15.80280664 13.41727005 15.79008183 9.35440781
## [37] 11.89161427 9.77458088 13.53587233 14.68088129 16.61128490 15.96265228
## [43] 10.45110681 15.45919824 15.34116055 11.69723554 15.02936360 15.29675815
## [49] 15.85913983 11.78464400 14.46692173 15.85408427 17.49055114 15.54362619
## [55] 13.30769764 16.07270214 15.75183793 16.68182038 16.33508366 15.20683269
## [61] 16.17578443 14.28107118 15.07646604 12.73881014 14.35674404 16.36695668
## [67] 14.41890060 14.12098058 15.10341373 15.19426058 13.83710267 15.78854996
## [73] 15.18150857 15.76786125 13.28977507 16.48084823 16.27675822 8.63755778
## [79] 15.49564024 16.55394914 15.31181816 16.08865106 15.08021071 16.15853276
## [85] 13.42203382 14.17486619 15.39738153 12.92842026 14.83798063 5.34820217
## [91] 15.96429587 14.24308586 8.19489207 8.84757262 15.27483583 11.52732844
## [97] 13.19373861 11.79486699 14.45635286 15.25865520 9.59163505 11.84939020
## [103] 16.16043298 15.10824345 13.81371323 16.39012488 15.50658112 16.09662848
## [109] 8.26619271 15.05487246 15.56679572 16.26142029 13.50688533 16.35676524
## [115] 16.04860779 16.41007875 14.52503531 15.87188146 15.28046926 14.70113396
## [121] 16.66803119 16.32894356 12.92963268 15.63493233 7.30575257 13.30002640
## [127] 14.40950660 15.73788217 15.30308321 15.56000902 11.24440477 16.01054151
## [133] 14.69476631 14.51531145 11.99607210 14.87495331 16.40294864 15.85009047
## [139] 17.09964746 16.34302116 13.49731941 11.93430539 13.88767373 10.44757105
## [145] 16.14436114 16.06330035 15.73360188 14.96781944 16.47812181 15.94011335
## [151] 16.08924137 16.16359896 14.92998476 13.41683480 15.06470747 15.16595651
## [157] 13.92704045 15.67885101 13.46621047 16.67223056 16.05108517 15.45010355
## [163] 13.18782455 14.07297795 10.49471634 16.56520693 10.87354632 15.99484237
## [169] 15.53212379 15.48282895 16.01010181 14.66793780 16.21923385 13.50161042
## [175] 14.68045044 10.41703577 13.52788316 15.58419739 15.79858205 15.63004992
## [181] 16.07501291 13.40837512 14.83214689 15.12597288 14.98855334 13.62289131
## [187] 16.35866427 16.38654662 16.30638288 10.87485796 14.68064130 14.75975178
## [193] 12.37289157 16.45684963 13.91170308 15.13958134 16.42360083 13.30441310
## [199] 14.62499735 16.33997520 14.54362709 16.44816137 NA 17.89590161
## [205] 14.34519811 11.63859642 16.27533715 16.19172496 16.46251284 13.59292729
## [211] 9.57647473 15.29899971 10.46270783 12.11938024 13.90609100 14.58062817
## [217] 11.65203772 11.79332639 13.98883190 16.01446645 16.04738318 11.95555475
## [223] 16.23705928 12.46965117 11.86538740 16.51606737 12.93295115 16.51641147
## [229] 15.95304829 8.79282444 13.60856115 16.26680915 16.52644727 14.58872995
## [235] 15.73788185 8.51335584 12.52824868 10.50736900 7.01303379 11.66079515
## [241] 13.05881385 15.98003907 16.05980126 15.93228800 15.70383707 16.45624347
## [247] 15.95437985 15.60919922 14.93836080 17.25907722 16.45625182 14.45996207
## [253] 15.63872956 16.67499961 15.98428065 17.16202296 8.48542178 12.92528438
## [259] 3.74950408 14.91131380 10.88620833 15.27813777 NA 14.95710291
## [265] 6.84206409 17.27448983 8.92346198 16.19166612 15.18726887 14.19890570
## [271] 15.24247640 13.57675719 15.95053218 0.41871033 12.54232025 12.25699758
## [277] 4.72001558 17.49704428 15.46967646 15.23106382 16.03619366 15.99539789
## [283] 15.95284278 8.33832726 15.92245670 15.58903867 16.40218657 12.15976553
## [289] 13.27429114 12.13750190 14.58841810 14.76906596 16.44880426 14.67902395
## [295] 12.28368375 13.81523450 15.43547445 15.44705457 15.73610493 14.63000829
## [301] 15.40471182 16.62558226 16.82996536 6.39313915 16.29451661 11.99929832
## [307] 15.73647131 15.11143981 14.00417400 14.95517659 16.31995922 14.05821174
## [313] 12.09331803 13.53329883 7.55179099 15.39637283 16.91031571 14.62998115
## [319] 16.46792236 14.08580331 13.23210817 15.60671739 11.95534102 13.96346692
## [325] 13.52750869 12.87345484 10.87630851 16.06599800 14.46150091 12.79737648
## [331] 15.71212092 14.13436378 15.47795566 16.65457824 13.94928535 15.40786115
## [337] 11.53093727 15.40313735 16.06086052 16.74236243 15.37954415 13.73861846
## [343] 15.77486143 17.12661223 14.48567525 15.88397734 10.91204493 15.52214714
## [349] 14.43562934 14.19201004 16.01042875 15.51846756 16.60930106 14.59770390
## [355] 16.73610771 14.19500824 15.11686904 15.39296951 15.44830255 15.32300777
## [361] 15.38587117 15.68515648 13.90229278 16.29960215 17.03101918 10.84586992
## [367] 16.97815060 12.62046271 15.88667838 16.17757675 15.46741329 15.62834303
## [373] 16.69214919 16.03800138 14.33497432 15.94359519 13.20763283 14.55262981
## [379] 15.72233139 15.20589922 14.62319392 14.50203083 16.57379628 14.60817736
## [385] 15.27033459 14.59198063 -0.02020271 12.73500243 16.74379401 16.08567010
## [391] 15.13568644 13.88208822 15.01580683 14.97870326 17.11389559 15.69767168
## [397] 15.93767893 15.86383172 14.89661560 13.44573075 16.64053737 15.30932848
## [403] 14.70368653 14.93776387 12.86530892 15.59010087 9.39547464 10.80291123
## [409] 13.82215358 12.70102446 14.30498349 1.52822786 16.72803573 16.05994665
## [415] 15.00945218 12.50181031 16.12132782 16.21160410 11.42240747 15.15799001
## [421] 12.31651064 12.55796358 13.55978777 14.13898439 11.98444420 15.31238577
## [427] 13.46113420 13.59056594 9.50114182 6.37246618 13.98025311 14.89785059
## [433] 11.27037889 11.63616691 14.19106047 15.31561799 15.39816289 14.55624569
## [439] 13.63446517 15.21994264 13.07529087 13.60605394 14.89859363 13.95287268
## [445] 14.64080045 13.11281211 13.08095085 14.62230139 14.30879585 13.96668617
## [451] 14.91488593 13.58043319 14.34797864 15.16825500 13.21159157 16.10097912
## [457] 14.48726507 14.10987225 14.53954183 11.08085387 12.34913752 11.67563521
## [463] 11.55848088 6.91653661 10.19168562 13.70185633 11.76040356 11.40756128
## [469] 9.31594826 14.01139938 12.01082231 9.27842230 1.87333946 13.53326960
## [475] 11.18830053 14.98645191 12.87647049 14.30339596 16.02928049 14.18689508
## [481] 11.63316823 14.41441262 12.89796294 14.07114926 13.62075525 16.32352792
## [487] 13.87868196 15.86870283 13.34133827 15.67124875 14.54036553 17.66313765
## [493] 13.18069636 7.04463481 11.46361021 10.71406037 12.19659386 9.92638929
## [499] 15.85709096 12.03178604 2.37304356 8.20634075 10.59878991 6.53990382
## [505] 14.59790493 5.32408257 8.39351934 14.31344207 13.27700891 12.11487421
## [511] 6.29808490 6.99402471 13.87116757 12.44513525 12.80723002 8.38615013
## [517] 12.00462172 6.11908790 13.08789934 3.27789917 11.82383195 11.35822367
## [523] 12.42454326 14.00819636 8.98601362 9.36767313 13.70044821 13.64436825
## [529] 15.22558694 9.65889626 16.91306957 7.87960181 17.02554419 13.29276954
## [535] 13.99833650 12.60906874 12.22868778 13.69033474 16.34049348 14.53022386
## [541] 12.85057148 15.56783842 16.57930251 14.35804713 9.44044444 9.02202690
## [547] NA 15.82616299 15.36334460 15.62424276 14.37893364 9.47819569
## [553] 8.37615023 15.41021878 15.58046721 14.95928998 14.63968975 14.82889814
## [559] 12.66394069 12.55338983 11.61795814 12.93150307 14.65925641 8.18253411
## [565] 14.08037122 12.02335665 14.51641555 11.34411384 15.73812784 12.86046146
## [571] 16.58584451 15.63090326 12.56338367 12.37357422 14.81459324 11.48532094
## [577] 13.08239425 11.63209536 14.33089874 14.54087486 15.96121087 12.81288413
## [583] 14.00110837 14.38898631 12.86049145 14.08915753 12.45293026 14.14672916
## [589] 12.69058055 15.93358320 10.39515054 12.17673564 16.06536144 14.15187341
## [595] 15.80447327 13.28122101 15.46196406 13.29171514 13.50866789 6.91622927
## [601] 13.82917777 11.61486508 14.40810589 11.60125259 9.58065211 5.67654830
## [607] 13.35543866 15.50036961 11.65872419 8.59071871 13.97004422 15.04033396
## [613] 14.84814338 15.41612270 8.81519632 15.21272111 13.09746618 14.43578385
## [619] 10.16886650 NA 14.01896525 15.79508155 13.79140538 13.52993002
## [625] 16.76008037 14.49934786 15.45562815 13.20540528 14.31729537 15.01274164
## [631] 15.88721551 15.17218152 15.56563073 13.29006740 13.89508732 12.50260966
## [637] 10.29200926 14.60750728 13.39185271 15.56035414 5.92681935 13.60112225
## [643] 7.68001396 10.26316837 13.58110230 14.93657603 5.29851735 11.72536602
## [649] 15.33231334 15.04124969 16.17335777 12.31724316 16.38331994 16.32272968
## [655] 15.18624918 14.30993853 14.58876247 8.79987126 11.21978398 15.76219150
## [661] 7.98261776 NA 13.80493168 10.08760500 13.12806839 12.32995230
## [667] 14.24097034 15.58299258 15.03215853 15.88010652 12.63601132 16.00804987
## [673] 14.31387777 14.07536767 13.15633482 16.43645405 10.95654863 12.14480557
## [679] 15.03889574 10.96682165 11.88956069 13.42642900 15.23228147 15.47259668
## [685] 10.05095926 15.29354851 12.62321731 NA 15.73085868 10.72975007
## [691] NA 9.83591296 12.21047848 15.24017242 12.30446113 12.35283593
## [697] 12.30899379 13.46128909 14.20905516 15.02360583 14.19784662 13.59960728
## [703] 15.41996236 15.95297406 16.44062614 13.56986757 14.88335855 11.67168468
## [709] 15.31055432 13.24579323 13.66476486 10.22196601 11.69038154 14.16164593
## [715] 11.36836606 11.60307535 11.44478312 12.43660622 13.51192977 13.54270781
## [721] 13.77291916 15.85343154 9.72304363 13.87115132 11.88179851 13.33782842
## [727] 5.20795493 10.05599145 12.32320209 9.71464941 8.33176923 10.24210356
## [733] 12.49780499 4.39346101 12.60690075 12.03990483 13.84796431 13.31651981
## [739] 7.17147247 13.27814484 12.97043537 8.50037048 13.09971180 14.95603269
## [745] 11.39517113 12.37112982 10.91191197 12.62491669 11.22990504 15.76598041
## [751] 9.48373892 10.65975553 12.63449445 16.18949672 12.41818700 12.61140961
## [757] 10.58552247 9.96553469 12.57645140 14.31791551 12.68373422 7.78899898
## [763] 5.98963788 14.10538966 11.11645746 12.89318324 15.18173156 12.40925550
## [769] 12.98257584 13.83530535 15.44741775 13.22820892 10.27083984 11.23942003
## [775] 10.66745613 9.72688760 12.88679080 11.63686763 13.18988353 9.02334551
## [781] 8.02810297 9.16500613 11.22860866 9.30762950 16.09877702 13.55942141
## [787] 10.32362811 13.29035781 9.07959595 14.17897311 14.67821766 15.41226608
## [793] 11.46147616 12.41940030 9.94912370 10.26302320 14.74436841 13.23030145
## [799] 10.64360205 11.76531849 10.34135854 11.75544394 15.89346704 9.12535748
## [805] 10.99878134 12.73162249 10.87534884 13.10829636 13.24216393 12.56438839
## [811] 12.38203880 11.54031551 7.78500576 11.38705630 12.65781053 10.61828492
## [817] 15.78185044 7.34664227 10.34881387 10.50519329 8.78033561 8.38557540
## [823] 12.06758941 11.63703343 10.74613756 12.48232639 11.23792056 10.27650798
## [829] 11.08550198 11.72402388 11.69890922 13.12856079 12.25004781 10.80665779
## [835] 12.23854192 13.26616293 6.19092997 12.64282041 15.57134508 9.07959595
## [841] 15.22746327 15.36318869 8.78404889 11.94069112 11.68700036 10.23156681
## [847] 11.30985178 11.21340304 15.81668993 12.77351042 10.75854097 9.68665095
## [853] 12.86025774 10.06296644 8.40270223 11.09253970 9.28232889 9.55234655
## [859] 10.64810179 11.19571873 11.29866224 11.05626237 7.49255972 10.49959947
## [865] 8.46155574 8.76137155 12.62107401 10.68135541 10.43878020 13.73256375
## [871] 13.99789022 14.67866864 13.57780303 7.55277258 10.61675177 13.51831383
## [877] 6.02909746 11.47411967 11.79709239 14.49861377 NA 14.58103175
## [883] 12.01351589 7.97532056 11.27195966 13.03821267 12.86656532 9.16930065
## [889] 8.56087701 12.89491806 11.13231301 10.81421021 10.10786655 10.95329835
## [895] NA 3.78895101 10.54423662 3.52488885 10.45840030 4.35581099
## [901] 10.70635311 11.49120405 13.65829369 9.02783720 8.56139379 7.67536501
## [907] 15.34028726 8.30988854 12.06975125 9.57068886 8.28484491 12.63333264
## [913] 12.81610557 13.41463434 15.90805817 12.04921414 6.88567326 15.87221557
## [919] 7.54605021 7.95602820 10.98660187 11.26251773 8.50009179 15.17124173
## [925] 11.88880961 10.80572540 11.06765144 10.56127306 9.79009094 8.16463547
## [931] 8.66126756 9.16484183 10.49062957 15.09652463 11.75021521 10.02685718
## [937] 10.00166589 11.06125876 12.92376660 12.22378358 13.47729120 10.20989631
## [943] 12.31242662 13.22648578 14.90338270 15.93058630 14.23373510 15.74608238
## [949] 13.10428095 5.42763364 13.06353318 12.65377085 12.17868896 9.30460182
## [955] 7.22067372 8.75543656 13.11609717 9.14365662 10.71864172 11.42688282
## [961] 11.83673942 12.43691489 12.19343948 10.55847404 12.06563684 11.45048660
## [967] 11.37005367 14.59339370 7.48037190 9.72901511 3.97537332 12.11428318
## [973] 12.31552472 13.99041952 12.44525351 14.75441448 13.62656965 12.23429978
## [979] 11.80964656 14.84136566 11.59796352 11.36405915 10.81368938 7.91039617
## [985] 10.47631652 7.40912433 9.03817031 11.86389581 10.46091581 12.95412270
## [991] 10.85186747 11.24910262 11.60735180 11.18684887 12.45477283 9.40719416
## [997] 7.42606681 12.86255431 10.20331952 10.15455828 10.49730406 10.83264337
## [1003] 10.51581804 13.29765549 12.90928807 10.92119144 11.02484813 8.95367882
## [1009] 7.94884085 9.88805305 9.06444833 8.31377138 9.02057961 14.05511721
## [1015] 12.08904652 12.93284994 13.62814156 13.23184291 11.21260142 14.90835800
## [1021] 13.74749533 12.80253146 13.22701193 15.20392344 11.95095831 11.63113046
## [1027] 13.18740530 12.54869735 12.91086459 15.14797546 11.42000711 13.57834124
## [1033] 14.28332795 10.00135446 15.13368818 16.09063459 13.25341452 12.51494961
## [1039] 13.54747395 11.90440604 12.73212033 14.75654223 11.98066622 11.69467669
## [1045] 10.41343369 10.14383978 11.98013118 15.39157487 11.22481197 14.47960150
## [1051] 12.35695251 12.30279887 7.86480016 12.22358938 12.63003967 12.92325844
## [1057] 11.44843174 13.21071081 7.30684008 14.00062735 8.43342238 13.45445764
## [1063] 14.23866443 10.35568738 9.15086634 2.09062873 13.22543703 12.61303021
## [1069] 13.63429413 10.60658655 8.32227989 11.60925458 13.30742478 16.23370465
## [1075] 14.16320136 9.58389230 10.45371916 12.05586538 15.47236185 12.50731877
## [1081] 13.08703661 12.60883925 14.33337708 14.52196144 9.23259000 6.68059116
## [1087] 10.60167899 10.39554373 9.76295686 10.34970489 15.59587424 13.50958143
## [1093] 17.15222071 15.87473262 15.71052112 16.86826742 11.53025287 16.47298694
## [1099] 14.74912273 13.07975080 12.90064486 11.08455610 11.76333183 14.02149209
## [1105] 12.83606001 13.47171375 14.32973750 13.93271717 14.36782416 14.34661828
## [1111] 14.56481259 12.66472247 14.48625489 13.87036630 14.19938745 11.71926298
## [1117] 12.98508270 12.84635727 12.91523428 11.82024567 13.25519839 14.25201175
## [1123] 14.60373007 13.57651901 16.33490146 14.76568502 15.17962242 16.03126579
## [1129] 15.76676679 11.28607417 15.57385885 14.60725321 14.90393889 9.16147150
## [1135] 16.42111846 13.31343537 9.19319320 14.86076523 12.50747713 12.14753571
## [1141] 16.52660580 12.73854126 17.33125968 13.59492250 15.65099135 15.32420598
## [1147] 11.60794024 15.51539878 15.30682773 13.12465122 12.45673303 15.36609800
## [1153] 13.54008720 14.28690627 5.74120670 13.08320712 16.60985023 14.05168217
## [1159] 14.67858076 15.38648446 3.77551576 15.41251661 9.57979757 16.03700310
## [1165] 14.24188614 16.50736959 13.67387837 15.81081994 15.44692904 15.15848998
## [1171] 16.25505366 14.18810840 13.38750905 13.54367947 15.00786725 15.09614350
## [1177] 14.62265401 15.19257704 13.31840845 1.35840916 15.83715219 15.54929431
## [1183] 16.40486463 13.21711909 15.73098320 15.05734950 14.32627138 13.89032302
## [1189] 15.80688154 14.42104333 15.06698232 NA 14.44996226 12.09960630
## [1195] 13.64005956 14.93177346 14.96809214 13.50742840 16.23668603 15.94279036
## [1201] 13.53115839 15.47676655 15.54609548 16.73839016 10.32457499 9.01421478
## [1207] 12.67290149 14.68387767 14.95694595 14.14630282 13.93629212 16.20166844
## [1213] 15.05090604 15.13343753 15.60963317 14.62723860 15.64720098 13.20919092
## [1219] 15.49294096 9.86820954 16.13265161 14.48728475 14.91380870 15.01874911
## [1225] 13.29407884 3.19088779 10.74574093 13.60736332 12.87147873 13.65908933
## [1231] 11.82773460 16.06739428 14.20195795 11.20503361 15.42223587 16.64804418
## [1237] 11.63562962 15.67412803 14.59536948 16.44607746 13.85896111 14.78981836
## [1243] 14.99234323 16.47142115 17.33646501 15.70302919 16.13720544 12.08469521
## [1249] 11.44335779 16.12700721 16.14077893 16.37612125 11.37796871 15.54966169
## [1255] 15.83362068 13.89956820 7.43048181 15.93445662 15.65505094 13.07471814
## [1261] 14.24737541 11.43302778 10.82504977 14.26346989 10.02062193 12.69892906
## [1267] 13.40164964 9.06970840 14.32212415 14.50755055 16.70546712 15.67365349
## [1273] 12.14353420 15.50124695 15.14528942 7.85998056 15.25067490 14.36259738
## [1279] 13.70925437 14.35621584 11.15532481 13.64405617 11.96921264 14.70377127
## [1285] 13.51377060 7.24614710 11.21143611 14.58080717 13.88816159 12.43131934
## [1291] 13.66349448 11.33505124 15.22834780 11.42555548 12.87933602 15.30064720
## [1297] 14.17541450 14.16043306 16.69287354 13.92435164 13.06534207 13.79996672
## [1303] 16.32906439 14.01866402 15.45072163 12.10185209 10.53058520 16.67010491
## [1309] 16.40405155 13.85776722 12.16590179 14.65148822 13.98056615 16.08954504
## [1315] 16.43795498 10.82349457 14.72145164 15.50726546 15.85331196 14.40434054
## [1321] 14.13422632 17.22495615 16.15716909 13.58867117 11.33242800 16.12836772
## [1327] 13.19922506 8.95645278 14.55880343 16.29757409 14.10879985 12.91051890
## [1333] 3.05729763 12.43095273 12.46027349 16.24785760 14.34025726 17.68271674
## [1339] 4.05837190 7.17725556 15.00514775 14.84589489 13.24165782 10.39294663
## [1345] 11.60418062 15.60349199 11.47525392 17.85624120 7.94916562 14.74168988
## [1351] 13.47102189 16.65674818 12.63734094 14.74528923 14.14564836 17.03242425
## [1357] 17.06772202 16.42756371 14.77859083 11.33155574 15.00423574 12.76046875
## [1363] 14.11171208 15.37454664 14.83336299 14.28813236 13.82131741 13.99674741
## [1369] 14.12547407 12.89767218 14.51305754 12.64589184 14.67522590 14.36629888
## [1375] 15.41969247 12.67874895 15.96287554 14.78432157 10.90438061 13.78626710
## [1381] 12.66383819 13.37300305 15.04991058 14.21167066 13.40405249 6.52823566
## [1387] 0.95165788 1.54115907 13.56427030 16.29923105 16.81652436 12.43683438
## [1393] 11.26131081 12.47457412 12.30138605 15.87138767 15.05348120 13.05646822
## [1399] 15.53996909 12.46715208 16.54648726 15.25122885 15.98815915 12.70826329
## [1405] 14.76537430 14.68278189 13.85978104 14.82541694 13.94720483 12.97808503
## [1411] 14.20015188 16.12388498 15.85305851 14.56498702 16.34055179 NA
## [1417] 14.94277969 13.78191040 15.38475037 10.72769830 9.03743593 15.14622252
## [1423] 16.02365713 4.17669230 9.02681409 9.99722513 15.26558816 7.72468524
## [1429] 5.66763703 11.64943447 16.53214013 9.81215650 15.17494394 14.81429719
## [1435] 15.12816993 15.33997734 16.64752025 12.40941957 14.05757719 15.29874165
## [1441] 16.31153242 16.53881309 14.73533101 15.52868097 15.84330964 16.79659798
## [1447] 16.26850062 18.29274064 12.52304044 11.59922077 9.68896548 15.64543309
## [1453] 15.65249692 14.98922540 13.84659648 12.25247281 14.26712359 13.60127108
## [1459] 14.90252901 12.97785232 7.63273053 10.97037402 13.91999707 8.69090277
## [1465] 15.54559678 13.29364815 NA 11.57268223 7.63348581 15.27117747
## [1471] 15.52242685 16.66699017 16.04745949 14.63823527 15.75843285 11.56237817
## [1477] 16.41148983 14.56682732 15.68522177 13.07141623 15.46342160 15.16568289
## [1483] 15.43331193 16.48591979 16.72581605 13.82872295 15.51343898 16.21988954
## [1489] 16.01809047 16.33008999 11.48062849 14.06796169 16.49333827 11.38071834
## [1495] 16.54782453 14.24949789 12.57440329 14.29270539 13.18631828 15.90206984
## [1501] 15.05748136 15.56986803 12.64984369 5.49528120 7.70391021 12.02722674
## [1507] 6.11913190 3.86807112 10.23821935 13.38073460 11.18364971 6.05645609
## [1513] 2.28442112 7.44596063 9.96221343 7.03013219 14.77925685 13.07241852
## [1519] 15.36405292 13.36794095 13.67258009 9.11922677 8.71746108 6.14190837
## [1525] 16.37875261 11.28685263 11.83209588 8.68230077 14.21214017 7.83640137
## [1531] 12.35554417 11.66508691 14.88423984 16.17237502 14.51264176 14.82994205
## [1537] 8.72560638 7.09887138 12.52455234 14.79264501 16.67566314 6.92466156
## [1543] 16.04256588 10.10921309 10.84469078 8.93830065 16.29600895 7.62925665
## [1549] 13.24484857 12.15659864 16.28765355 10.69622936 5.77678507 8.51756712
## [1555] 6.30838984 14.80866519 13.93660858 11.32282541 12.71981782 6.31448963
## [1561] 14.83098318 15.76856099 15.79537115 15.56228074 15.38717824 16.49771212
## [1567] 11.48728186 7.11925531 9.71311911 15.45196503 3.22286785 14.90610770
## [1573] 8.32518245 10.03997326 13.34766811 9.28941769 12.31358674 12.01581561
## [1579] 8.15601957 9.29743050 11.23400926 10.56437287 11.88926580 3.48185528
## [1585] 7.99057688 9.71396674 11.13847679 9.80064498 11.88452585 10.49494553
## [1591] 7.09953199 12.54632459 8.92876362 9.82522272 7.84236519 7.19077399
## [1597] 5.99161454 10.29474082 10.45176935 8.02646427 13.36158863 11.35536282
## [1603] 12.49250588 11.94955281 11.01920979 11.19020796 13.41643088 8.11950874
## [1609] 13.15884475 10.76096054 4.92129393 13.46837009 11.45175619 10.10037172
## [1615] 11.58407819 6.37246618 6.16379890 13.50282159 12.05013963 15.55659765
## [1621] 14.83018521 11.35357985 15.53338005 13.86227278 14.43629388 13.76802883
## [1627] 10.76008900 10.05474362 12.24418592 8.48222694 16.39959224 9.54535083
## [1633] 10.95404148 13.25195636 9.30762950 14.21455816 11.29649657 9.66072276
## [1639] 12.16584818 11.66590703 13.19144365 8.75097595 8.73894057 9.76425077
## [1645] 6.67253915 12.24389281 13.55272048 10.35240384 7.49108201 12.65794355
## [1651] 7.94183971 11.43123710 11.90013013 8.77128022 11.67245124 12.79640850
## [1657] 16.27237901 16.55911964 2.73176673 11.75778299 13.12875115 12.66670320
## [1663] 13.87372409 13.27134055 6.81238910 10.90579945 10.44348006 13.38007618
## [1669] 13.27427799 14.39387829 8.93560611 12.55088511 8.24127367 14.75191543
## [1675] 9.97691133 13.79504293 13.63187314 13.10255953 14.42813916 11.57307054
## [1681] 4.31828779 13.29430347 15.81463868 16.10720584 8.88299813 12.20810852
## [1687] 7.19192619 12.46893175 11.90585803 12.74305484 13.88411734 13.29957364
## [1693] 12.57496339 8.86868493 16.41949417 11.76818656 14.78045070 13.72890066
## [1699] 11.37397599 10.83835330 12.38409870 15.11271501 12.77271662 8.68749277
## [1705] 15.57839941 15.69723359 15.85846438 12.21998640 15.74689558 12.37039905
## [1711] 10.91799007 12.33614387 11.71209070 11.46591593 6.43221636 6.21376775
## [1717] 11.68133554 9.59003218 10.43825136 15.58868203 13.45104119 15.13301757
## [1723] 10.53389805 4.75281403 13.08082654 3.22286785 5.94395356 11.22112184
## [1729] 6.48344369 13.41549375 9.27842230 6.92586039 8.12650339 8.03356436
## [1735] 12.86225992 7.63908898 10.37429492 4.68601257 1.47932923 9.94440010
## [1741] 10.66312494 3.71625140 13.42143898 13.11875481 10.17122467 12.50385725
## [1747] 10.28041978 6.11913190 13.41983541 9.98263555 6.09530641 8.04518435
## [1753] 10.22707282 12.73489695 7.08585962 4.05421677 13.22415157 6.64522100
## [1759] 12.59216837 5.80934297 9.93727865 7.98057101 14.23749944 9.39651201
## [1765] 12.11735820 11.46626385 9.49254271 11.57876498 10.60466218 14.15662018
## [1771] 12.57242804 8.24936080 10.88591709 6.90763527 11.05618848 12.49792413
## [1777] 7.89020447 10.71703634 10.44277351 13.39406569 15.81313708 17.17842221
## [1783] 14.88750415 10.25792249 12.13507502 16.07040661 16.77384788 15.79100380
## [1789] 12.53289425 13.18041687 13.75955322 16.64438219 11.94162222 15.69223873
## [1795] 16.43679253 16.05699690 16.68217692 15.63140549 12.34600683 12.12635805
## [1801] 14.30424617 9.05419053 13.13341077 12.52521567 14.71085207 16.18942292
## [1807] 13.93562246 8.71896437 15.00126935 13.36451663 10.53500850 10.50894331
## [1813] 13.74525865 12.40977989 4.15700632 14.12236336 11.46245415 6.81156371
## [1819] 8.22556468 14.35773609 15.39325037 11.08894352 9.95276902 6.75314616
## [1825] 12.30065706 14.58530773 14.36850766 8.71197184 14.63127998 15.51193017
## [1831] 13.38743461 11.96814529 10.36200737 8.44190483 15.17382632 16.11923118
## [1837] 14.83104497 15.58854967 15.91164520 14.39867329 14.90052731 16.26053992
## [1843] 12.34834322 9.02774478 NA 16.22531715 12.49055623 12.16580753
## [1849] 4.84843004 9.70410447 9.71255947 13.00131473 8.70156431 8.98344354
## [1855] 11.99592447 8.76139035 11.08069412 13.83964723 7.46161740 10.11513528
## [1861] 11.57703436 11.18788567 11.52268211 9.86320448 17.03407251 12.29484445
## [1867] 11.73898987 13.45623077 15.11165941 13.97082273 15.35759603 15.05785839
## [1873] 10.41796311 16.98838061 11.47930477 15.03884162 9.05419053 8.51480434
## [1879] 11.61965375 7.53823419 14.97766824 11.96820802 10.05702633 8.11126498
## [1885] 10.68835096 11.66245072 9.74826313 11.75501127 11.46640885 9.08062113
## [1891] 10.26810601 9.18938738 13.72133673 10.49916798 6.32143354 13.44024209
## [1897] 8.45073496 9.52697937 16.04898993 16.46573280 16.64558457 15.96423632
## [1903] 11.20657339 6.50961825 12.73853994 16.48023353 14.82338782 11.97458374
## [1909] 4.98798060 6.75524492 13.25747622 13.41687966 14.59629968 14.69673068
## [1915] 10.51538373 15.14135004 14.97777883 16.38968294 14.82230814 11.78750497
## [1921] 12.53655016 16.50998335 15.37881823 14.93657490 16.50692510 12.17419083
## [1927] 15.73589489 14.60211637 16.44702272 13.36925045 14.17309114 16.45432396
## [1933] 15.42977687 16.39065050 16.60640085 13.39192352 11.74645624 15.44317597
## [1939] 12.03192745 11.96665698 13.38582765 5.81717068 10.20872709 5.17071124
## [1945] 13.46189776 10.79718169 10.50151521 11.55671898 7.83459418 11.45964652
## [1951] 10.30947186 10.90871840 15.15789303 NA 10.13406619 6.92593895
## [1957] 8.63719953 9.80404836 3.23317313 4.21212760 9.81948836 10.05166529
## [1963] 13.83922451 13.04621561 6.09823157 15.82172976 7.96455550 5.86946639
## [1969] 3.91979274 15.59715028 11.80765326 6.10260334 6.96725927 11.79870844
## [1975] 4.89552369 10.01764402 10.73439075 10.57312094 9.96154323 9.25191217
## [1981] 15.76766225 14.70507744 15.18290933 15.99267534 14.52434244 16.07094509
## [1987] 16.05147392 14.88639108 11.89676175 9.93757879 16.44602146 14.85506929
## [1993] 16.37447354 11.81985751 14.26331414 12.46603056 16.21599357 13.45888361
## [1999] 14.30159468 15.48577386 14.89186825 13.99395543 14.92328903 15.96178666
## [2005] 13.44818313 14.85324775 13.91842166 12.68528605 14.28398826 13.91527227
## [2011] 15.72016049 12.79645128 15.55911059 15.67986297 15.11254452 15.26347926
## [2017] 16.48348666 13.77295973 15.26711613 15.06581562 14.98007230 15.28571562
## [2023] 14.21563923 14.77953276 11.50367309 14.98932013 14.26380259 10.49378606
## [2029] 14.86777017 12.39840691 12.74834051 11.48638106 8.56045764 10.55423154
## [2035] 13.36459129 12.68530645 15.90688292 12.74182817 11.21340304 9.07959595
## [2041] 11.60544147 11.22256848 9.30762950 10.80525696 13.58095480 14.70515724
## [2047] 15.43128410 14.54811345 15.41412860 15.12551698 13.11979189 13.05386104
## [2053] 13.03309598 10.13389228 8.82052664 13.87282406 10.62096094 15.61229345
## [2059] 13.15553293 11.81270023 7.83459418 9.40263536 14.37531527 10.14277961
## [2065] 15.95916432 14.10480411 11.57219387 13.37833806 9.30805765 14.88714815
## [2071] 10.24236511 14.79590979 13.91528436 16.10559913 15.88633906 7.01246658
## [2077] 6.54982240 15.80241185 13.28956421 11.29530364 10.56404646 12.52046498
## [2083] NA 14.13973204 13.50620397 14.42587704 15.20315928 13.96435840
## [2089] 15.85501918 8.46586621 14.82229598 11.93400562 13.14856443 14.87914684
## [2095] 15.76736342 11.95977798 16.69291099 16.24934389 14.57215752 16.46441984
## [2101] 14.44121454 14.89947479 15.58220616 16.43091442 16.59544992 16.10230626
## [2107] 14.63032652 15.98504489 13.38113266 15.47760942 8.68189204 15.41383032
## [2113] 16.01678342 3.20922945 12.69499371 11.22641204 16.48581334 11.60634140
## [2119] 13.91562027 9.30762950 7.03238593 9.30762950 9.07959595 12.71799050
## [2125] 11.85195821 12.51308403 10.84418305 11.91408927 11.29736893 11.61285876
## [2131] 12.67836534 11.48859824 11.04660305 9.91840178 16.46245179 16.31018561
## [2137] 14.80762593 17.43552596 16.28814814 11.34096706 16.33393692 13.58393513
## [2143] 16.12315137 15.48157844 13.26375597 16.63847069 16.30726573 9.69912957
## [2149] 14.94712627 16.07728398 14.79835092 16.08684857 14.91678913 13.15599993
## [2155] 15.89835036 15.85255741 12.57179906 14.16103760 14.72169814 14.68605565
## [2161] 12.48623587 15.38300617 13.79187342 14.99274445 10.60850179 13.31791837
## [2167] 12.79061288 14.88639832 13.90960704 9.80072034 13.29495635 15.29890461
## [2173] 14.01231032 14.04268038 8.70026114 10.50668842 14.06310505 15.29103293
## [2179] 13.57464379 16.41437257 15.39257648 12.54300885 12.02714482 14.16775811
## [2185] 14.68062818 14.97490325 14.39721319 12.18777934 12.42271205 14.77587469
## [2191] 16.32886229 11.59029818 14.24391452 15.94650136 7.20173001 15.24319954
## [2197] 16.01485678 15.71793645 15.48057882 14.84273137 5.40371288 15.80962234
## [2203] 15.92856959 16.69991588 15.85478655 16.25909633 14.96816308 17.08607088
## [2209] 12.83340174 15.82195390 15.01642202 15.14146019 11.71138674 13.12448077
## [2215] 16.30980102 15.49572838 14.75277203 15.86378755 15.19569483 13.05287601
## [2221] 16.07315849 13.28956421 11.90849982 17.45542722 5.05974287 16.34940380
## [2227] 16.40909955 14.97600415 15.99133715 15.10781331 17.09787369 17.15681046
## [2233] 15.59223619 17.70808621 16.05198100 12.92852083 16.40558745 15.90579232
## [2239] 13.33676003 15.26282512 14.44815147 15.47751923 11.03351436 16.34013214
## [2245] 16.39440481 14.00319330 12.44415482 14.15366204 11.01005528 14.67446817
## [2251] 16.42737218 12.74016164 10.07796005 10.71343907 15.18430642 13.82673950
## [2257] 13.18615769 14.94809389 14.16360927 11.84448824 12.66439070 9.65326824
## [2263] 8.47118067 14.55719152 7.04727371 12.90688401 15.04070231 10.20609235
## [2269] 12.59320510 13.40311708 NA 13.10241809 14.03692261 15.17719362
## [2275] 14.52025201 8.95093213 12.76490410 13.97405742 12.37300269 11.67106916
## [2281] 11.21943469 11.60557775 15.30493722 10.95777206 14.57382973 12.20643358
## [2287] 13.06910757 12.58104284 12.86606614 13.31004645 11.64449244 5.97891108
## [2293] 10.59969729 9.04500808 8.04200816 11.39353634 9.70876502 10.37050015
## [2299] 15.42641601 13.33358579 14.01269358 12.81751258 13.82820270 10.34024879
## [2305] 11.25962562 4.67897811 13.86107281 14.05407498 15.54084453 11.54492749
## [2311] 14.80054812 14.95936374 13.75605703 12.03917249 6.22013281 12.17417447
## [2317] 6.73266352 13.37363636 10.80630513 13.35185642 11.89339647 8.36254672
## [2323] 13.03345004 12.38705118 11.34355903 10.99759806 7.98874656 6.73143567
## [2329] 8.77216714 7.36420497 4.04270033 13.58691674 8.07890526 11.71263489
## [2335] 12.55803075 12.25456948 14.01981067 11.13828103 13.54670569 13.76841338
## [2341] 13.63457063 13.16142844 14.67391202 16.36063228 13.89916861 11.68594943
## [2347] 13.20330406 14.16212988 14.43902376 11.88621808 11.59686800 15.28900599
## [2353] 13.53323474 11.78162646 11.42635704 13.10763980 8.83688398 11.67101435
## [2359] 11.72052426 7.67537429 11.41487759 14.36030662 9.14353261 5.45403824
## [2365] 12.00783918 15.83521743 12.73414195 11.01022144 9.15715265 8.59979201
## [2371] 11.76003785 12.96187218 14.36013313 8.14070613 12.75438380 11.41686655
## [2377] 7.44493847 15.36118742 12.09564219 13.45526545 14.12314892 16.15185369
## [2383] 13.19653899 13.34494093 12.77074352 11.29768287 13.76809625 14.91306588
## [2389] 14.32523414 9.20833536 9.48794029 12.61458494 13.09454616 9.79413129
## [2395] 9.74580924 11.62494857 13.47001308 10.03315085 8.40411184 12.89022537
## [2401] 9.08333961 11.98928523 10.51764537 11.11193075 9.27873240 10.59043028
## [2407] 11.14869922 8.94993100 14.03507950 10.59330595 9.99727658 13.48895194
## [2413] 14.11896458 13.21825341 10.35220498 14.06624264 16.56721747 12.88489187
## [2419] 15.90381946 13.18840515 11.90946116 9.17816010 14.09002315 12.85902675
## [2425] 13.78443493 14.87996414 16.87342947 16.02961815 14.99407866 15.65667341
## [2431] 13.14784797 12.05479488 11.04460330 11.89618689 13.26599970 14.23817219
## [2437] 15.02467590 15.61267131 13.44755415 14.23769550 14.90824457 12.11825240
## [2443] 14.25643253 14.54413478 15.03365305 10.53688393 14.14509072 13.97760803
## [2449] 15.44401717 10.92596078 13.84526612 12.14259948 11.19988606 13.39681266
## [2455] 17.00599405 14.39089111 16.52329786 13.63115317 13.08326519 12.07643145
## [2461] 12.06007039 12.52310515 13.14365319 9.01759871 13.08899206 13.09509261
## [2467] 11.17627483 14.08207059 13.88552711 13.27404935 12.92573200 9.63422153
## [2473] 11.55940553 16.45509793 13.20539389 13.90910182 15.79788473 11.86071005
## [2479] 5.34262129 14.85859960 13.92369418 13.91525314 15.24585419 14.79207851
## [2485] 13.22349715 13.98344895 14.59729507 13.12796631 10.83092631 15.84630177
## [2491] 13.81649284 16.12138192 15.82059477 12.57629113 13.90656965 11.32910599
## [2497] 10.56061629 9.44837963 7.68047121 11.66780928 9.34917580 12.14343062
## [2503] 13.95535348 15.33310596 13.43570365 6.53832794 15.09585014 5.26450202
## [2509] 11.92371053 12.48563834 14.65837850 11.89268739 11.35164306 12.77675718
## [2515] 10.18193903 13.71062576 14.18312871 9.71378240 14.54359447 13.94311600
## [2521] 9.74850077 6.40946739 11.26061131 14.76849038 14.25359267 9.82395721
## [2527] 14.14055236 10.90267446 7.54148679 14.07216996 14.16521008 12.98969431
## [2533] 9.80952187 12.62621567 14.20967172 13.63184737 10.75951647 14.05568638
## [2539] 12.28520203 10.65088899 15.60699530 15.91537875 15.55757806 13.06094119
## [2545] 12.91303409 9.52989822 13.18412783 12.07102044 15.76196176 16.24298501
## [2551] 13.61641217 12.65694895 10.06018955 14.46353473 13.88035468 11.68130630
## [2557] 13.16968336 10.78434528 12.89022537 9.98016059 11.50465778 14.04809115
## [2563] 12.90641696 11.05542842 15.62060976 6.35053662 15.20931006 16.75526457
## [2569] 16.06187234 15.50138843 16.62838767 16.31547414 13.33114978 16.00113731
## [2575] 14.43903892 15.96654821 15.08523331 13.52522132 14.90640375 15.07649172
## [2581] 14.64364403 8.71972416 16.55351439 13.51193108 14.29149601 13.61990086
## [2587] 11.85432561 12.51510993 15.99162640 16.24778847 14.76841925 13.82579906
## [2593] 14.24246388 12.33720682 12.05324082 13.45759994 14.34785206 15.10639617
## [2599] 10.92585053 6.73629057 15.16548267 14.05145820 12.51052485 16.10195546
## [2605] 13.19017773 12.88393262 16.38338794 13.34949074 13.55986320 13.74151510
## [2611] 11.69241418 15.11097561 11.32811810 14.29586910 11.93691735 14.28092450
## [2617] 15.11684279 16.34252068 16.27351451 6.91153812 13.28956372 11.14809709
## [2623] 7.04612495 16.20744567 13.29563469 14.82102888 17.32678261 12.31700981
## [2629] 15.48160262 13.18912764 14.92784638 14.04342846 16.19968345 17.46656201
## [2635] 4.16106819 16.43800993 15.14717303 10.63433506 4.21818330 13.45028833
## [2641] 10.79355648 6.73629057 9.80407653 14.67103811 8.21363645 10.42942955
## [2647] 6.38740107 NA 14.74473966 8.11809676 0.51879379 8.85276073
## [2653] 12.92936394 8.29402714 13.09021483 15.70037176 14.76853219 13.73880810
## [2659] 13.69002768 10.51928084 16.13399836 2.79910893 13.23118955 7.61172864
## [2665] 11.80528735 5.09882930 10.75549765 11.56236932 3.76676599 13.79062488
## [2671] 15.39143932 11.40283668 8.23073437 10.58132539 14.91756055 11.57094547
## [2677] 14.93387598 16.27833461 15.83662389 14.99564453 15.33718903 NA
## [2683] -0.01005034 16.61037607 15.47755141 6.50838158 16.61237697 16.74329848
## [2689] 15.23533669 15.63229746 16.09591571 14.07563042 14.49652938 16.18499356
## [2695] 12.19027019 9.72521519 9.43337992 11.55511331 8.56415693 14.55298865
## [2701] 14.48016645 13.49737904 11.66558561 16.33027181 15.55137064 12.33324238
## [2707] 14.97256690 14.87450560 15.54718290 12.79149026 11.91525787 10.95680623
## [2713] 6.59097390 12.15185666 4.76464950 12.75083858 13.31729269 15.63025038
## [2719] 13.16967794 8.00481303 13.81130202 15.76822605 12.57635780 12.15096894
## [2725] 15.34923811 15.29769561 9.41777071 10.48710833 15.34140102 15.17532510
## [2731] 3.71625140 14.14465208 16.63155282 15.71383659 10.32653616 15.73023307
## [2737] 14.27848717 16.78814859 14.64324505 13.29274257 10.52320480 10.58502156
## [2743] 9.41912533 15.17548506 15.15267711 13.41093757 10.87759615 15.10762761
## [2749] 13.82964678 14.64564275 9.72353938 14.58862333 14.94332756 14.54678032
## [2755] 7.59014480 11.73475992 12.15368723 10.79252137 12.48674955 14.17542206
## [2761] 13.60109907 13.78927407 14.05733508 14.99728969 9.38566081 14.45705911
## [2767] 14.55037915 15.83836571 12.06201346 14.47528365 14.89744034 15.72018925
## [2773] 15.08693664 13.01946279 15.28370872 15.04314276 12.48689621 15.40205371
## [2779] 13.01098709 12.54603286 13.44638251 11.24574042 13.31480132 16.17580051
## [2785] 14.39081403 14.51556353 13.87135251 15.85154950 13.80465798 13.82169099
## [2791] 14.68511586 15.32446140 14.15272658 15.43722033 11.93494506 9.31986361
## [2797] 15.23239979 15.33959891 11.73214043 11.12800550 11.83069649 13.80255859
## [2803] 10.97157345 13.85839508 11.32830876 14.51930888 13.93933636 14.42713435
## [2809] 14.53911343 15.38179703 10.71514040 15.13490328 14.29751212 12.35056123
## [2815] 14.18880674 13.78699682 12.19441966 12.94968570 13.55124183 13.18438446
## [2821] 11.56351430 12.00953275 6.67204560 13.82490612 13.23167242 6.72746765
## [2827] 8.85434805 10.25265282 14.82623172 7.83370719 12.50204560 10.41022413
## [2833] 12.74331626 14.00203257 3.63442327 12.86782686 14.67336001 13.78425142
## [2839] 11.58785194 14.36549401 10.57611948 11.53624885 10.95016108 12.05006447
## [2845] 12.40798688 15.00497987 14.05384573 12.10796763 12.41602299 12.03771618
## [2851] 14.33578362 10.63821588 10.11499365 12.50869780 11.79502606 11.36889954
## [2857] 11.71545512 9.03215943 12.55390631 15.79387751 5.43420224 15.69652459
## [2863] 16.04949056 6.41535879 15.49516870 15.24350743 7.18876011 5.58717375
## [2869] 14.57943174 15.56435231 0.43825493 15.38620348 11.57102851 4.90460789
## [2875] 4.24060707 4.90067161 14.65025227 6.38598667 13.28977518 15.48426534
## [2881] 9.64678140 12.11497904 15.60671533 6.17046811 2.90690106 1.92278773
## [2887] 1.00430161 14.15205070 16.29774172 16.53105563 0.46373402 NA
## [2893] 15.24559760 6.33182208 3.79661215 13.53189324 1.56861592 15.74705564
## [2899] 8.70773421 11.15352868 15.66095621 14.94481252 12.56295174 14.35249331
## [2905] 15.58054998 15.13524668 13.15270958 15.38275785 15.10239295 12.55549855
## [2911] 6.93870147 11.15226401 5.34424630 13.16261220 11.32893015 11.90456247
## [2917] 16.71952775 14.84423854 12.28646700 14.40016823 11.13021656 12.56648435
## [2923] 12.05273928 12.10401140 13.61113431 14.07452340 9.33094165 14.80589731
## [2929] 14.33186907 13.47905516 15.66491115 13.91951656 16.16419974 11.98559984
## [2935] 17.07431013 16.29168587 14.90681952 0.65232519 14.04664958 16.25027450
## [2941] 12.22152996 15.76418287 16.25201409 14.41766469 12.12598636 15.24692504
## [2947] 12.39444250 16.07501506 15.56179967 15.19294696 11.91681507 14.54721162
## [2953] 12.55599999 13.56861917 11.18678153 11.16654931 13.46409881 14.76675887
## [2959] 11.75580576 11.05818839 13.05834800 13.61592446 14.58264616 12.57102481
## [2965] 14.41733126 13.51542327 17.37425014 14.16779640 13.37357175 14.90294147
## [2971] 13.28977518 13.66394635 15.84646020 15.87451830 13.78589600 14.93009130
## [2977] 17.00964977 13.63260641 13.44850605 12.26928939 14.99394967 14.63548778
## [2983] 4.79587319 9.99114718 15.78130164 15.02997385 15.48772374 13.85750233
## [2989] 15.05363464 14.55439411 13.84544176 15.43968437 13.15553400 13.54604113
## [2995] 12.46289191 7.43613984 13.60276231 12.46262486 12.67345020 14.35450091
## [3001] 13.73996977 14.57996098 14.38416642 13.28790670 13.01976653 16.26387736
## [3007] 11.42098253 14.44188497 10.64827725 13.14978806 16.08930430 9.68848825
## [3013] 11.73175002 10.34011600 15.04395544 14.46858174 13.74759330 13.93613272
## [3019] 13.24718242 8.09278682 10.91888144 11.20209131 12.33008376 13.50848795
## [3025] 15.82017101 15.17574796 15.36331060 10.54120421 15.85033849 12.42391356
## [3031] 9.75616666 15.68502811 12.11412768 15.83052873 15.78439369 12.82277422
## [3037] 13.22631897 6.70189894 12.29624593 15.66364265 15.61267063 15.72163567
## [3043] 13.95154173 13.17915572 12.68880554 11.12800330 14.27299559 14.54748331
## [3049] 5.09931750 9.75905467 13.00791778 9.67723229 10.03087322 11.65332442
## [3055] 11.42451646 12.05953556 11.91500358 11.15087093 7.31030280 12.00642141
## [3061] 12.25521284 15.82210639 16.36434187 13.67554975 15.11644115 14.87366545
## [3067] 15.95982167 13.59129224 13.47481888 8.58957897 15.73534792 13.43892115
## [3073] NA 8.39082692 2.50225529 4.46717169 12.12834448 14.19218275
## [3079] 11.46693765 15.13777667 14.44684319 13.12023449 8.89485398 8.75056110
## [3085] 15.42779429 13.13996879 15.37027976 14.13317425 12.34523371 13.71640336
## [3091] 12.93834253 7.12689081 10.37031646 15.62547329 10.24641711 10.57348022
## [3097] 11.86772312 13.31211960 12.91127290 10.13949994 8.55697721 9.05419287
## [3103] 15.10540520 13.16939384 11.94588258 13.37447729 11.81502680 14.62626080
## [3109] 15.67037034 15.85723545 10.25809892 15.30939437 11.34568399 8.89469769
## [3115] 14.18439791 11.88971802 10.06699277 14.31298207 8.54787951 10.26180829
## [3121] 11.34289237 8.48609873 10.57319107 10.05205108 10.12153253 12.76063305
## [3127] 5.87571694 13.29279557 7.98121385 12.36381834 6.09816417 12.57686335
## [3133] 12.05700391 4.58425294 8.52868095 10.06068445 9.72836244 8.16704263
## [3139] 11.29755736 5.68531296 8.11330983 12.02279329 8.45065374 14.58384179
## [3145] 12.59873863 10.14595244 5.83109037 14.09025904 14.04521664 7.83459022
## [3151] 10.44457765 11.86806993 10.33831436 11.55280644 13.80937687 15.37401783
## [3157] 11.57807752 8.38287749 3.35724549 14.23376645 13.74568406 7.96455550
## [3163] 12.46839602 15.84804082 4.76054868 12.74570133 12.99516396 9.52572686
## [3169] 11.99296797 14.69795559 14.50652527 15.38275580 13.76173510 14.26750322
## [3175] 15.17555224 15.66387271 14.05160905 10.30965708 11.95250971 13.31103548
## [3181] 14.25815722 14.88098063 10.96981319 13.66943414 11.63419894 15.57931148
## [3187] 11.15169143 14.23381723 14.79016264 11.75765178 13.69921777 12.66669989
## [3193] 13.26624216 15.58227929 13.68470140 13.43499948 15.70256495 5.49371966
## [3199] 13.43013878 15.05820023 12.66196382 12.05404589 6.93702278 11.44348428
## [3205] 10.89774734 11.59901187 13.27368764 11.46302793 11.43833036 15.55715496
## [3211] 10.82033453 14.85368344 15.48326779 14.15973403 15.55612315 11.85387474
## [3217] 8.85077554 14.14487153 13.60481091 13.19407232 12.68012301 15.19701126
## [3223] 15.32499982 9.88357205 12.94322241 12.45383244 15.56931461 14.61782039
## [3229] 13.24837994 15.11355329 14.77305881 11.56828051 15.00017108 11.29475254
## [3235] 15.05742997 15.69400483 14.97852146 11.62742436 16.58273646 13.44560987
## [3241] 13.19911047 11.70618630 11.39626063 10.55935957 11.54755643 11.10575420
## [3247] 15.06013560 11.27332473 14.00693758 11.64165635 13.71287602 14.44938470
## [3253] 10.95353843 13.43279835 10.89200182 14.74678509 9.50933620 14.14247161
## [3259] 11.69535260 15.95552850 13.33745501 15.40693602 16.05892564 11.63532733
## [3265] 11.27208372 11.09441357 13.09905106 14.85344053 13.54740829 14.19499011
## [3271] 13.24431984 12.89778217 12.41407287 10.31848805 12.36874738 13.33460092
## [3277] 10.62562687 8.77662238 11.88299114 10.96510351 9.88316902 11.03214962
## [3283] 12.98346796 15.40075235 6.24058769 13.72223904 1.87640694 13.56335550
## [3289] 13.20118953 7.36836492 10.04955566 7.19663414 12.83691601 13.63611016
## [3295] 11.56733685 11.90183339 12.02803199 14.82612369 12.86445008 14.02211603
## [3301] 11.13418967 5.98378514 6.38694666 11.34057032 13.36618845 14.16808498
## [3307] 14.24426472 14.29949876 14.29420206 16.58370438 14.32174124 11.95364774
## [3313] 14.96424951 14.03782115 7.14872303 14.72467047 13.73552950 14.67312584
## [3319] 15.31253702 14.04575834 11.09695780 12.98902586 15.85335549 13.05061856
## [3325] 12.63907805 15.55086847 12.06873172 13.28978948 15.72002833 12.68303851
## [3331] 13.32927962 13.93813404 13.06633997 15.67304450 15.78475277 13.38845670
## [3337] 15.34250855 12.56774911 13.37977192 12.25979401 6.63837143 11.79834588
## [3343] 16.75621450 13.68991788 14.93599602 13.17160434 12.97783596 15.52452620
## [3349] 12.99909849 13.43732830 15.89127494 11.18323166 10.41238792 13.93514081
## [3355] 8.12289055 14.02181023 14.04156354 14.82669722 13.68403437 13.72203090
## [3361] 13.46281563 14.37775994 13.96247081 14.07083805 13.92057594 13.35607592
## [3367] 13.87668301 15.00640144 14.62854295 13.70315651 12.51177554 15.92719338
## [3373] 14.90079244 15.33462665 6.88835837 14.17385132 12.52109165 14.64921152
## [3379] 8.19257047 14.05747639 9.90675122 10.17804259 12.03220628 12.00075667
## [3385] 13.28166742 12.06208345 11.51741736 11.14460208 9.18120194 14.82805424
## [3391] 10.40747042 8.50157790 11.40275741 9.93548803 11.00864802 11.69983266
## [3397] 10.10486186 13.69600676 9.81448365 11.85133575 13.88176892 15.73975135
## [3403] 13.05326521 14.54725425 10.52495665 11.40921980 13.92034290 14.45728895
## [3409] 10.40525023 14.86044718 15.06429822 13.11668275 14.81514477 15.21113551
## [3415] 11.49842098 15.21041060 15.35885743 12.29516353 15.81742430 11.71250843
## [3421] 13.27357770 6.75519833 13.50658303 14.61002346 14.03300407 14.83022642
## [3427] 14.05694977 13.76979152 16.49733587 14.38274369 14.63401010 8.81728297
## [3433] 9.76281299 14.68141042 14.81596939 10.79768645 14.78250823 12.66732100
## [3439] 13.93064600 14.63502485 13.02211681 13.78413519 11.78867816 11.83787449
## [3445] 8.83650619 10.51283864 11.97743396 11.51626379 14.84527048 11.98692311
## [3451] 10.97819454 14.45576965 13.72257690 12.39875868 13.90967786 13.44004018
## [3457] 13.28376139 10.80311482 11.20343818 14.49826060 14.73216665 14.65848231
## [3463] 8.84407963 11.38393392 11.91239765 13.09010717 14.56159945 13.69931001
## [3469] 11.27033606 10.41787911 14.29521590 16.78821728 15.55278101 16.26425712
## [3475] 15.21077122 12.89162375 17.77228605 17.32236336 15.38485075 13.54007187
## [3481] 13.99436417 15.61142879 13.98087014 14.30388015 9.11554826 16.76095331
## [3487] 9.82257680 NA 11.51216948 10.71274036 9.30762950 4.52558571
## [3493] 9.02170090 16.40426602 9.17883732 14.11817407 16.45278390 9.70440166
## [3499] 10.25518965 15.50080848 13.78606787 10.38112944 14.54534285 14.82942985
## [3505] 16.37392917 11.46269834 15.31288944 12.83329109 13.44907708 11.55570637
## [3511] 4.92718122 10.11556935 10.21264291 9.47537491 11.62823727 14.06429595
## [3517] 15.71243800 15.08550204 13.06719678 11.36268671 13.96478124 14.87467351
## [3523] 13.16399261 11.97616269 14.92638476 14.33458986 14.93658506 9.50534755
## [3529] 12.58911711 12.10195752 11.85457755 11.72619547 13.41516862 11.30274355
## [3535] 11.12121443 15.03375021 13.90388102 12.14332298 8.27501971 10.89161474
## [3541] 11.56443032 8.22646649 8.44905995 9.88933437 11.54406787 10.66606751
## [3547] 11.03693499 12.19545791 12.09664632 15.37329077 8.64932961 12.03412173
## [3553] 15.01805800 12.20799425 11.58986067 12.01692790 15.28832950 14.58456640
## [3559] 16.78377933 12.68379699 14.10823249 6.70358067 14.06552884 16.55545871
## [3565] 14.64302664 14.56122588 12.61362208 15.80354374 16.28700515 11.87299829
## [3571] 10.66093190 15.72151699 12.26656380 11.46364362 17.27596394 13.42356870
## [3577] 13.34401979 12.94826772 14.39392648 12.58250704 12.30100771 15.14503801
## [3583] 15.08441532 16.37903741 12.49451299 9.92821480 15.31110387 12.62520776
## [3589] 8.58033324 10.42804624 12.73525247 8.43399200 12.21123644 12.93226572
## [3595] 11.28670468 7.69240540 11.47496167 11.54263629 12.43608444 11.12562090
## [3601] 9.57240168 15.52137633 11.14727032 11.89249119 12.60392982 15.66448220
## [3607] 14.46332521 10.31982270 14.75052811 12.08063385 9.03049814 9.29379418
## [3613] 9.47420351 15.47417083 13.85831520 9.42481607 5.52329923 10.65991817
## [3619] 12.21182258 10.76577353 13.04425380 9.63264096 15.77038865 3.73456958
## [3625] 14.31942079 6.47852500 13.89662016 14.14283194 14.78489937 7.97968815
## [3631] 13.07752853 14.37875987 12.46586464 11.33624664 11.38739966 9.39672865
## [3637] 11.64150582 11.70466990 9.53511373 10.25164800 11.26722644 12.45782328
## [3643] 10.50175054 10.11813834 14.59822145 13.17554465 13.93229008 14.19902760
## [3649] 10.02352360 14.56535834 15.54483003 12.45881795 14.54189239 11.60079870
## [3655] 10.99812847 7.51566587 13.82325801 15.10326439 10.68852749 7.65450484
## [3661] 10.19465940 6.29756962 10.21769884 15.30375290 10.25588446 10.37892980
## [3667] 12.07409393 12.37665338 12.30881658 12.46769040 12.23268050 12.12607915
## [3673] 14.96467405 12.30745517 15.31506458 NA 14.58088942 9.05420222
## [3679] 11.93449467 10.65367506 13.19006657 10.08723934 10.26809699 15.68181567
## [3685] 12.34149877 8.96879988 10.29590727 15.20925998 11.04290536 8.57323888
## [3691] 12.38232973 10.51608308 14.05910613 15.35567788 11.04984581 11.38513346
## [3697] 9.50105135 7.18677998 11.49085765 9.51542882 12.50411404 4.76447897
## [3703] 9.19648077 11.14523450 10.14511914 14.64251845 8.11128899 12.68259073
## [3709] 9.40644731 9.78766528 9.27822423 14.15298622 12.32896262 14.24112147
## [3715] 9.51034200 13.94994680 12.85808573 16.49731844 15.35008909 5.07191852
## [3721] 8.65291394 14.05241583 14.42060552 11.92882613 14.49634237 14.61838249
## [3727] 11.34970358 13.29080362 5.47942986 15.82045786 15.71650279 9.99504570
## [3733] 15.34479251 16.05099791 8.85646294 6.51897028 15.06564352 10.87205437
## [3739] 15.60703995 14.69841460 11.69560804 12.87089692 5.75684920 15.96966925
## [3745] 11.22403012 13.40493400 14.15026791 16.51352847 15.22027286 14.88412222
## [3751] 14.86330804 12.74863249 15.82827158 14.09366476 14.72315624 15.29988585
## [3757] 11.56589109 16.16993802 14.59180697 16.37273338 14.91822281 15.75699859
## [3763] 15.17042921 15.57582102 14.88102570 16.10614408 14.32074687 9.47550763
## [3769] 11.79409842 15.13958325 16.10471500 14.56800427 15.73878823 11.92167424
## [3775] 14.03881108 16.14457995 16.22155527 15.34713105 14.13983428 16.98281430
## [3781] 11.62234670 6.44703641 15.39734376 13.42860907 14.79728325 11.62437372
## [3787] 15.22478776 12.95516661 12.31118936 10.86554846 14.30308159 15.02370997
## [3793] 15.09051459 13.43919432 15.02533588 11.52314932 13.99242663 11.46588574
## [3799] 12.56213425 13.42503203 11.23767474 12.98514316 12.46125100 10.73730974
## [3805] 14.07476302 9.37225937 9.48289028 12.59330369 8.47878703 12.10201040
## [3811] 9.74171482 14.27636246 9.71236034 13.66328215 10.50555619 11.57424867
## [3817] 15.59090152 13.40769921 13.52600947 14.33517809 14.53872308 11.63633478
## [3823] 15.13254299 10.25279669 14.01033949 14.50023756 13.85081414 10.69054553
## [3829] 14.02419522 11.36345039 11.38058936 14.48980578 15.15107989 15.01300673
## [3835] 11.87419198 13.56298665 14.67759592 14.18743173 14.07965663 11.95595158
## [3841] 14.37454848 12.64167516 14.49575017 14.22749708 14.70467666 14.81106977
## [3847] 15.61523838 15.01212586 10.24425839 16.12056222 10.64874604 11.97728111
## [3853] 11.61678959 13.28929388 15.23023555 10.72164845 14.43093167 11.82306275
## [3859] 11.67077279 8.75008270 13.51070273 10.11065862 12.45465429 8.32320302
## [3865] 11.84906300 14.20855053 12.19619861 12.04410974 13.55181099 13.25953264
## [3871] 9.41572964 12.65447948 10.06708235 8.58576544 11.22467830 11.50933513
## [3877] 12.32937655 15.78810751 11.36440922 12.27392441 15.50738857 9.83596271
## [3883] 9.70999807 12.98144836 3.36936266 14.24743200 11.79772591 14.28213487
## [3889] 13.87093121 13.91681311 13.88735729 11.96706238 13.79130967 10.34964985
## [3895] 15.00260532 15.15877006 14.90389770 14.78833297 12.97333012 10.84282036
## [3901] 14.98848037 13.50244539 12.80957807 11.48763525 13.48163254 13.64688852
## [3907] 13.11414931 13.78781177 12.98803985 15.36783097 12.94905801 15.03531582
## [3913] 13.61469190 12.31371843 15.61282442 14.22563917 15.45823974 15.97520909
## [3919] 14.22344479 14.46295628 12.81249451 13.24071130 12.53083827 14.19202645
## [3925] 11.31834532 14.94951126 15.65189401 11.33140035 15.05682076 15.84993366
## [3931] 13.53628269 11.39331614 13.91375270 14.60842474 11.54273676 14.30057735
## [3937] 14.58039106 11.74463090 13.93666906 14.09206823 9.82895526 10.02963727
## [3943] 11.47911632 14.02699309 12.46044312 13.79855185 11.37018598 10.43582992
## [3949] 14.40433460 11.54602576 11.54605778 14.76888100 12.82518131 9.59442453
## [3955] 15.55868870 15.75885187 12.66363055 11.59416779 9.36987851 12.23724156
## [3961] 16.80090295 13.79767347 15.77509490 15.26858128 12.30573570 15.10869592
## [3967] 16.28874248 12.17178985 9.92502201 13.69579872 13.22412304 16.96244393
## [3973] 8.92840310 14.69316353 15.06419941 14.88185972 12.17705894 12.43553626
## [3979] 11.19091196 15.54166605 14.98207289 14.34480488 15.61419593 10.05484892
## [3985] 13.06270299 14.21193908 13.57975924 12.05974192 12.60146722 12.57624092
## [3991] 12.52985647 14.00803344 13.66987319 13.66275175 16.13991544 8.90913933
## [3997] 15.65663830 13.10522670 5.94479214 5.45886185 8.73974137 9.76595330
## [4003] 14.51399348 9.96872364 11.98772228 11.72896214 10.59410002 7.14212360
## [4009] 16.31676638 13.72813005 9.70239349 14.91729869 11.76039653 12.90106632
## [4015] 14.21923595 13.39551391 13.22678644 10.78323649 5.32242444 13.31217654
## [4021] 13.66651685 8.43584647 14.34246016 12.38285912 14.22587437 11.98687679
## [4027] 10.90804627 11.34840005 14.92724886 10.62995732 10.68656478 14.21773187
## [4033] 16.07016664 13.27138381 13.65705286 11.77190385 6.83403339 12.12630163
## [4039] 11.38265298 13.67348683 14.44100265 10.51828474 11.35658038 12.60936353
## [4045] 10.89762948 11.54473474 8.24622926 15.01319503 14.23179623 13.49295847
## [4051] 9.91078635 14.05651403 13.52169352 16.07938924 15.51637189 10.17966255
## [4057] 14.81295642 13.06804608 12.69872573 8.54182141 12.19811547 12.69648763
## [4063] 13.36488015 9.60707750 9.30762950 15.31177053 11.62253716 12.17322905
## [4069] 15.45449646 10.47207441 14.12390988 13.72498819 15.29928414 11.46245846
## [4075] 9.07959823 13.32149723 15.40919185 15.12807347 16.44964102 16.43047393
## [4081] 3.51660723 5.85776171 14.22246095 16.14760202 15.32719577 NA
## [4087] NA 5.01972717 12.43438358 15.18735220 9.70446633 14.89711746
## [4093] 11.82621249 9.65011028 15.08255297 15.21815362 14.63964418 16.18719974
## [4099] 15.71295181 7.75832492 11.27788923 12.30158376 16.93661189 16.59421120
## [4105] 8.17222093 14.96458951 9.52763052 4.90223312 1.65249740 5.95046024
## [4111] NA 5.76271154 6.54747384 13.82732302 14.99354316 12.91459497
## [4117] 14.17403426 4.44968528 4.05785345 NA 5.54173402 16.72768557
## [4123] 13.47736499 3.89832968 NA 12.09607763 11.65765539 14.59893687
## [4129] 12.55367404 9.73689386 4.97279496 14.60522132 16.69829905 9.36973442
## [4135] 10.48114840 14.37585768 15.06130622 10.08411100 11.32712683 8.19489207
## [4141] 13.13853871 9.26123214 13.33019133 12.68734288 11.65215666 14.42190268
## [4147] 15.38816373 8.90961899 13.64092040 10.82079936 14.02628867 12.82997473
## [4153] 8.08671792 9.18009351 11.84477152 15.62011792 13.09835442 12.06198684
## [4159] 15.87041992 15.18971977 9.81418847 11.67804805 16.00917571 13.29958589
## [4165] 15.86994760 11.97457801 11.99119131 7.27291909 1.22671229 0.43825493
## [4171] 8.21325707 13.12082914 14.27879469 15.27696722 12.72284660 12.27994800
## [4177] 13.08189861 12.82858951 14.73506282 14.89006057 2.38324300 13.10487698
## [4183] 12.16776036 11.49286509 9.22393850 14.36173135 7.65156230 9.10611588
## [4189] 12.43770506 11.71949539 11.47400281 9.84759951 10.07950176 10.67752162
## [4195] 10.59936999 9.80261141 13.59639656 11.89144765 9.60806695 10.79951904
## [4201] 14.51628397 10.58564583 10.78254526 9.34979183 4.71186980 11.39869316
## [4207] 14.11017356 11.05676967 9.13339669 9.48405155 10.75157118 13.05523976
## [4213] 15.27958303 11.06605444 14.40361110 13.41566276 15.67631436 14.32500896
## [4219] 15.28810538 15.00479130 12.21717568 15.46017445 13.68413095 12.64679765
## [4225] 13.77410237 14.78104092 12.08711415 15.81600662 14.98249820 15.93953788
## [4231] 13.45004585 11.89926715 11.90718476 11.51701101 13.66451863 9.46703861
## [4237] 8.62023161 13.67739065 9.92824407 10.54463566 13.94902469 9.30838590
## [4243] 11.22103736 9.59980211 13.50677026 9.96610454 8.05494184 13.40247771
## [4249] 10.09045165 13.02359599 9.83306509 14.16747931 14.57492813 7.74389830
## [4255] 14.18533098 9.83297120 10.65173447 11.57943991 11.56079787 7.85717513
## [4261] 12.06625416 11.25444524 6.21558762 11.24465209 8.82105221 7.23297155
## [4267] 9.63911633 11.21050654 13.39082446 13.45037157 14.52170690 13.80298694
## [4273] 12.11685988 13.47449512 12.73804640 15.56146388 9.75825193 13.90544762
## [4279] 15.18575327 11.63664065 15.11576598 12.84498801 15.95364929 13.10764461
## [4285] 15.49433724 13.99234257 12.63765007 15.71158190 13.66803506 15.56464370
## [4291] 15.17269489 12.26237916 13.29023921 12.37927424 16.10364857 14.17544856
## [4297] 11.86266255 12.04520529 13.42916896 14.49423233 15.38059355 12.50371443
## [4303] 12.67341364 15.63708167 11.38019741 11.44035090 11.58695221 10.85095713
## [4309] 14.88445046 11.06261716 11.97288065 10.90894198 14.19186516 12.85542710
## [4315] 13.53815894 10.70888806 13.34127445 15.81269555 13.61113860 12.04600037
## [4321] 14.89146078 14.18663625 12.38104707 14.03023164 15.69898571 14.10385091
## [4327] 13.11768368 14.33095072 14.58956410 12.79551483 12.58259231 9.38759578
## [4333] 14.21030582 13.52172826 12.43309726 12.45331636 12.84836270 12.81981917
## [4339] 13.97602515 11.44418121 14.51240219 12.88651167 12.14598394 12.24995120
## [4345] 7.82086897 12.09847079 12.28965671 14.78965423 5.26971211 8.63086646
## [4351] 13.05968433 9.99556752 13.18379221 13.39746256 14.18918596 15.08498399
## [4357] 15.50317832 12.89477707 10.58226904 13.17144971 13.87976119 7.50922567
## [4363] 12.88555212 13.28130897 12.84320247 11.69177876 14.83299224 14.84272477
## [4369] 13.95532453 12.62732147 13.38653883 13.93753076 15.50531743 14.92038859
## [4375] 11.62136579 15.58503279 14.59835367 15.07475988 12.91474447 5.44155153
## [4381] 7.29585718 12.57742104 11.08203177 11.68418995 13.28053567 12.51941457
## [4387] 12.88896790 8.86417854 8.79528997 13.72040734 13.56655554 14.08851874
## [4393] 12.98318303 13.06196754 11.17820573 14.75779371 13.16666051 15.52183916
## [4399] 13.36214254 12.94131055 15.66585813 15.48714376 14.56581983 9.93591263
## [4405] 16.20534907 13.99129138 14.05260428 12.86427754 11.21526161 16.10722091
## [4411] 13.94045648 12.29326386 13.07713705 4.05352257 12.90880655 12.15274428
## [4417] 11.95782863 7.61307310 13.31895600 9.67383851 14.01756625 10.11602465
## [4423] 11.35448538 5.22008552 12.78204361 15.56395219 8.52764241 15.31121223
## [4429] 10.12321889 8.92976763 15.07689198 6.62297566 8.31904465 12.41921390
## [4435] 8.30721509 12.23462609 13.97636671 15.58311511 15.14776515 9.93704418
## [4441] 14.11100257 10.81324539 9.62751927 8.71919155 12.25699397 6.25738019
## [4447] 14.36005528 9.42557191 11.50382185 9.79249789 14.36180023 11.30714235
## [4453] 12.46115504 12.56386142 14.05262784 11.16262204 10.95302724 12.27716437
## [4459] 10.62155220 11.70357012 9.77527854 11.66515991 11.04379921 6.69837902
## [4465] 2.28949985 13.15111008 15.24312296 8.69387219 10.78358825 14.48193413
## [4471] 11.71016347 13.50243679 11.59284823 10.31952887 15.98743917 13.75950014
## [4477] 15.75136375 15.09191153 14.55634403 11.88453309 14.19522279 15.39524194
## [4483] 12.32517059 12.69674957 13.87322711 13.82797394 14.89803019 12.07426879
## [4489] 13.55078058 14.48249177 15.66006233 14.51136394 12.51228525 15.71238444
## [4495] 14.04667460 14.35219664 13.80893345 13.37066977 12.56499013 10.72887892
## [4501] 9.09230093 10.51991242 10.62197031 8.68722959 8.52764241 9.79180823
## [4507] 9.40370655 10.30798820 6.20693876 12.86433287 12.85715445 10.39494777
## [4513] 10.57358768 9.03804201 6.63339738 10.03347712 9.50647487 9.01834901
## [4519] 13.97777015 11.38500266 11.04057316 6.09650001 9.42182664 11.05857721
## [4525] 10.17945579 11.21641574 4.79115170 12.38688381 9.16668833 12.37322248
## [4531] 7.96046324 12.50418225 14.99347364 9.71796729 9.64580820 8.15367201
## [4537] 11.15628452 12.24728037 11.16816272 9.57111560 9.32981442 12.49772585
## [4543] 7.10462056 10.04844294 5.22111230 14.16803681 12.09985571 12.43882873
## [4549] 14.95946215 13.11026448 13.21020358 12.54222187 15.33301701 11.63707751
## [4555] 15.27311460 12.63427828 15.68930851 11.22890388 15.24635757 16.43118449
## [4561] 14.49951816 16.74595199 11.09494334 16.00290614 16.37373341 15.46718921
## [4567] 15.14006884 16.16087264 13.20513963 16.61140189 -0.02020271 15.37670912
## [4573] 14.31323928 14.32642106 11.85483717 15.11874205 15.04394274 14.14521575
## [4579] 14.63042563 9.60488541 15.25442797 15.21199794 13.27268115 17.76098873
## [4585] 16.53268913 7.09717657 15.52481203 13.13443563 11.75863871 12.96140189
## [4591] 15.49620971 14.68927801 13.80368046 15.68354409 NA 14.61576981
## [4597] 16.29994544 14.07636683 11.60671048 13.34594454 13.29674340 12.90696300
## [4603] 16.56467533 11.60677303 11.53857567 14.05439770 8.95819917 11.80661024
## [4609] 12.19103266 15.55579661 15.92396721 13.95268953 8.15945483 14.87696303
## [4615] 14.20002806 15.92901660 15.53531830 11.63674420 14.81904015 14.79303462
## [4621] 15.80865939 15.49927170 16.20484756 16.15446388 14.57195540 15.14407768
## [4627] 11.76152840 12.22383137 16.10535579 15.76408776 17.41511210 12.57688040
## [4633] 16.44245881 16.10169361 13.53448074 16.27873501 16.27689075 9.00008220
## [4639] 8.98897274 15.42980067 13.82674279 10.68026699 15.62447887 14.11040655
## [4645] 15.38882280 6.02296321 13.81661093 10.29026445 6.29312349 13.39767281
## [4651] 15.13322630 13.83286962 8.31315840 11.61363459 16.43314191 11.63964305
## [4657] 5.56643428 14.87029498 14.61575894 9.17890440 13.95751956 14.27338291
## [4663] 4.72152999 15.96369629 11.41950494 14.30701892 12.58933533 15.90019892
## [4669] 10.72335527 12.94513278 12.00520990 11.79632907 13.35405972 11.88884820
## [4675] 12.59074712 15.98933204 11.83261915 12.35291119 14.27384637 15.57191507
## [4681] 13.33904325 13.29153350 12.38367584 15.17227460 15.80008399 15.47952155
## [4687] 15.59562997 14.26266849 8.26147479 15.63812992 12.72785106 11.65834900
## [4693] 12.91315961 7.02695065 15.11008087 15.22758794 13.56348466 14.77052277
## [4699] 15.04900737 13.98214296 11.22706786 10.18814117 15.34255738 11.25909536
## [4705] 12.75754185 13.23511854 12.97698832 14.79133759 6.42546852 9.31016399
## [4711] 11.37667667 11.60544065 13.81120528 14.12888182 8.56984636 2.57945897
## [4717] 14.37036568 12.18321473 9.07959481 12.99505812 13.22405649 15.70011191
## [4723] 15.38208381 13.44512176 14.69773110 12.76872214 9.39447196 14.17978596
## [4729] 15.12063628 15.68880673 10.98376070 7.14763795 14.73905243 8.32814184
## [4735] 16.27744447 16.39652250 16.20174690 15.36730444 7.45466786 11.25677010
## [4741] 14.61488757 11.84416360 11.89609929 8.61346291 16.16452453 11.58581406
## [4747] 13.11745899 8.83093329 15.43499210 13.08522727 15.30319147 14.57554089
## [4753] 13.70904755 11.57715159 13.72821225 12.21981336 15.44901888 8.86773738
## [4759] 12.24050311 15.92167196 15.76592233 15.72048527 15.37502143 12.56021449
## [4765] 11.42880967 12.34191941 15.12649128 9.48436257 12.63009248 2.70136121
## [4771] 5.37319290 6.09183011 15.05956582 14.23490994 14.42255762 16.30019197
## [4777] 14.35468912 13.21466195 15.79243222 16.19499407 14.28592444 16.46487636
## [4783] 14.08729565 16.97198735 14.74494079 13.50094387 12.96665565 15.38720806
## [4789] 15.99621095 13.99249893 13.23150370 15.94493028 5.01575550 12.77300988
## [4795] 15.18746093 16.22878802 14.76232286 13.66246668 14.33424683 14.45180836
## [4801] 14.12019327 14.87151536 9.83429448 15.24316833 14.35045762 10.26692404
## [4807] 12.47743080 13.08558451 10.97019750 9.25500872 13.54726072 12.35037042
## [4813] 14.94816030 12.76814025 11.90581253 14.52057172 10.12058044 11.91304404
## [4819] 13.86943804 14.97589006 13.83997898 15.11487158 14.46895648 14.15920448
## [4825] 14.05701124 12.08986844 12.28507457 10.26326817 13.61078923 10.25444297
## [4831] 13.65128956 13.73552886 8.99224904 13.52230118 11.11388284 10.25413773
## [4837] 12.29327999 10.14023574 14.44039001 11.63541899 14.18212392 11.77926658
## [4843] 14.55507707 9.66214884 5.77501728 13.89796434 11.73653811 7.13207414
## [4849] 10.88179037 12.63661615 9.51902509 10.70196770 14.48133335 14.35504587
## [4855] 10.63532742 12.27466530 13.49491716 13.18088384 13.11966350 10.09361275
## [4861] 11.82801865 9.82246891 14.73049725 11.01373407 13.82061471 11.76820942
## [4867] 14.59050100 14.12815634 9.78466854 9.24861833 12.59929377 8.47045372
## [4873] 12.46954491 14.52416392 12.41809454 10.25833563 10.08123701 12.60150385
## [4879] 10.84290225 11.00091547 10.28225236 12.66951064 9.24630386 12.45862031
## [4885] 13.53979927 12.02346451 12.08826493 14.23285408 12.09699478 10.69073941
## [4891] 7.41542794 10.63106804 7.95122829 7.45446529 13.44903298 14.07208062
## [4897] 10.96037466 14.87513346 1.01160091 9.04292713 12.93609536 12.86345500
## [4903] 9.57704317 13.97139999 6.77897828 6.89738166 5.26558754 5.09613998
## [4909] 12.34841517 12.68173585 12.28573984 9.38591505 11.59876320 11.99008791
## [4915] 12.74990969 14.85992619 13.51465407 10.87454238 11.95867777 13.84587453
## [4921] 12.72010040 11.82520746 11.76730470 10.23967904 12.88713090 13.07617419
## [4927] 14.21384263 9.48553049 5.03902837 9.60501211 13.36782620 12.73912842
## [4933] 12.54846351 11.62714474 6.57809777 13.52222784 13.91223810 12.92786785
## [4939] 14.35587341 9.53293606 11.39686861 15.57721495 12.48941343 13.44970537
## [4945] 12.31952302 15.45897510 14.58194056 9.40678752 13.18535322 10.35425453
## [4951] 11.07205445 14.94701880 12.59385937 12.58054139 11.42358319 14.92668704
## [4957] 8.84366560 12.33369705 10.86627745 11.66241516 12.93194313 13.14993800
## [4963] 9.42935300 9.63998414 12.95791119 9.08537561 10.15766765 13.39077266
## [4969] 15.57632386 13.51257579 14.52374408 14.57034856 8.24437083 6.19154416
## [4975] 9.44402655 11.97861838 10.48352006 10.11119010 16.33909764 12.65863550
## [4981] 13.98959982 15.08516647 15.47048767 10.20691034 16.12459849 15.36271570
## [4987] 14.31323739 11.19795537 14.35294638 9.09657799 15.89301500 13.63776480
## [4993] 8.32609322 NA 12.21180926 8.86846537 14.68494026 13.90290065
## [4999] 10.69108705 7.77540604 6.70203407 9.70441264 10.42707282 9.05843085
## [5005] 6.12233929 6.29640926 14.63017064 7.77879338 14.44767269 0.94778940
## [5011] 15.00271629 12.18826925 8.58689461 9.47480243 9.76703533 14.84684096
## [5017] 10.59165862 13.47151620 12.31829474 12.95664210 11.26716545 10.70866660
## [5023] 14.95317997 14.40899688 13.03040658 11.69618275 8.65261355 15.64787025
## [5029] 12.97204820 15.58997016 8.31989281 13.93359279 13.71227173 11.95981424
## [5035] 13.97063838 12.23711758 15.24747256 14.75435242 15.13415120 14.43381080
## [5041] 15.03037491 13.57394128 6.37400215 14.33571693 13.19946372 12.71418967
## [5047] 15.98770824 12.82755131 15.55956169 15.53981436 13.01436238 14.00207888
## [5053] 14.01561781 15.79116306 7.98073176 14.48991754 10.89793824 14.85518304
## [5059] 13.03808380 6.38374309 14.50306408 13.48868534 11.19125301 13.95756119
## [5065] 11.54640028 14.73129276 13.87035998 11.50248505 11.77568757 11.09319113
## [5071] 13.40006994 11.97129537 11.81194844 4.42711950 15.80746418 14.62673386
## [5077] 8.87647753 12.73255171 10.14044880 16.17215071 14.42801318 15.93238638
## [5083] 13.99485143 16.52046846 12.43591729 11.63603420 13.84031099 14.08897638
## [5089] 10.97349150 10.93215133 11.21925094 12.33560721 10.40249279 10.67186836
## [5095] 12.63081256 13.38937447 13.72353435 11.59527695 8.61614039 12.14640555
## [5101] 11.84523878 13.56551774 11.75123826 15.62121466 12.80424981 14.03044395
## [5107] 13.10446285 11.17484598 12.26685777 15.54053854 14.52144940 12.84709922
## [5113] 14.81253921 13.10178972 13.44010586 9.90601137 13.25001026 9.03272572
## [5119] 10.99047621 9.10549417 11.51570350 13.03576787 11.37179418 11.90809381
## [5125] 13.23109537 13.29721875 10.44418290 11.34579580 13.04676620 12.09712677
## [5131] 11.30266889 9.21604308 13.53098902 14.83470749 15.60335658 12.11296201
## [5137] 13.54567199 14.59163072 13.41686147 12.37622707 10.75374617 9.06459064
## [5143] 12.26844520 11.54811219 10.97103289 6.83887669 14.19221585 12.06491620
## [5149] 11.79562125 15.44907350 13.89817538 13.11540807 14.48545869 14.17816511
## [5155] 13.50560277 14.51068767 14.79647289 15.54004568 14.59469092 14.37022942
## [5161] 8.34693379 9.32753301 8.72847628 10.67490672 11.99474013 15.80430263
## [5167] 13.94298452 9.08962592 9.71317294 13.31157542 12.83208877 6.43619844
## [5173] 6.96222452 9.25424720 7.33196363 8.60035534 13.08112980 13.50469462
## [5179] 11.24047717 9.03202797 9.05420222 10.12711339 10.09039441 15.49294386
## [5185] 9.07171488 8.21977588 7.87788626 9.21023437 8.44769948 15.73470929
## [5191] 14.54076021 12.66777554 7.46625044 8.11313909 11.73056920 8.72463329
## [5197] 11.16346827 9.33811950 9.17417419 10.84445587 8.53595410 11.07769050
## [5203] 11.47024769 13.24592319 6.07071463 13.40818632 13.37411897 11.61040230
## [5209] 8.61975158 7.71859216 11.89476166 8.90231000 11.12770406 14.20316529
## [5215] 14.51018319 12.28737895 14.04724078 14.74060460 14.03259869 11.01304473
## [5221] 10.03254326 10.89236384 12.67814014 13.36316241 10.70026137 12.99439695
## [5227] 10.67897825 12.13158372 9.84270623 11.39769249 11.70698066 12.17239010
## [5233] 10.22316708 6.70193580 10.64723730 9.19056512 11.29092039 5.84594732
## [5239] 4.61521952 9.33612509 8.54424789 9.71312939 10.00794216 3.74714836
## [5245] 11.63571117 10.39471620 12.20186937 9.14420484 8.53686444 13.05131692
## [5251] 8.92504611 12.99956124 10.34499397 NA 9.81196310 8.45769369
## [5257] 9.75873515 6.56104481 8.37638050 8.68419297 12.02051289 13.54594761
## [5263] 7.52048385 NA 7.79384656 12.08273970 7.38361050 7.83458231
## [5269] 7.70766499 13.72446176 7.00832433 10.01071418 8.13217462 10.07412276
## [5275] NA 8.58584761 11.09889785 14.49607389 10.01253252 7.54322568
## [5281] 13.69420004 9.19781121 13.90370017 14.96641583 10.47263520 14.37975355
## [5287] 9.78808231 7.44701674 7.73371422 10.26809837 6.28050819 13.05250073
## [5293] 9.04269893 8.41922969 9.74532207 13.86165525 13.65510544 12.78809277
## [5299] 14.51883334 11.73987401 11.01037418 11.03262274 7.00550793 11.84510428
## [5305] 11.53626995 11.82541336 13.85351793 13.76329127 14.82834589 13.91564173
## [5311] 15.40923792 15.49599720 13.58256709 11.57341643 13.03797478 13.35296332
## [5317] 13.74412628 12.57822654 12.93618690 13.98878852 7.60527787 15.50936818
## [5323] 11.82876407 12.04569061 11.04602262 8.06242964 13.53987493 10.21567442
## [5329] 12.95016445 10.14783432 12.69083160 8.57502616 7.47120941 8.10017966
## [5335] 15.73603874 9.93270795 12.09037808 13.26577075 11.49865533 12.06579081
## [5341] 14.58652839 2.72063732 9.64675490 12.10950827 4.19765297 6.31031820
## [5347] 8.84895578 14.15235474 16.13254254 15.78937365 12.34287125 -0.12783337
## [5353] 15.00466060 14.50471549 3.19129906 13.62046484 11.50935309 13.82614369
## [5359] 14.53086461 3.21446612 12.43425269 12.61473833 11.39330588 12.02766468
## [5365] 15.55222019 15.03718594 12.02965332 10.56683871 11.71151826 8.76271487
## [5371] 11.85385810 11.16717449 10.49139227 11.25140264 9.73623804 12.05522650
## [5377] 10.23173787 10.70833017 12.89764093 8.24131583 13.38717463 12.65255694
## [5383] 9.94578190 5.45971317 8.67546451 6.03176641 6.51125487 9.73789095
## [5389] 10.21657637 6.21794253 9.83164724 12.46773297 15.72444926 15.76728704
## [5395] 12.02697379 11.72334586 12.13761965 9.79245599 5.18917192 2.80032548
## [5401] 4.58466131 4.43069774 4.66889588 10.23432897 11.90818036 12.33085813
## [5407] 8.11327988 13.01470164 8.53686444 4.06319783 7.96459373 14.13505637
## [5413] 7.83626703 6.08986087 10.35736752 9.63548196 8.11128899 4.69565054
## [5419] 13.89861266 10.65196253 6.12407051 10.39340716 10.70604526 5.83726387
## [5425] 14.28703924 13.93341851 4.66211747 5.89009605 14.63457723 13.27231393
## [5431] 9.82296544 9.19826678 3.44871690 4.39962094 2.58776404 NA
## [5437] 3.31491301 1.39376638 4.71903444 11.68639756 9.99700613 2.62972823
## [5443] 7.83370719 8.44142384 5.13914577 13.39644348 7.61334967 4.96800611
## [5449] 7.01372661 8.98266657 8.37348909 13.00646091 5.47817756 8.43763037
## [5455] 12.40347463 6.54566570 13.20927418 10.64545799 8.12454460 15.09354838
## [5461] 12.87444379 6.75519833 14.64911714 10.65850235 8.10102299 11.60300627
## [5467] 2.74084002 9.00571676 10.71066139 15.21342157 13.29277067 14.93944661
## [5473] 15.26832997 13.00446576 11.87952008 16.48854921 14.01580045 12.10001628
## [5479] 15.11866176 5.83155984 6.41071750 9.02201362 12.72496685 14.22775446
## [5485] 13.56402761 16.22933954 15.14731944 13.33929214 16.10046452 15.12024249
## [5491] 12.74748160 14.50241498 14.69342506 15.26415616 10.45044962 14.00148337
## [5497] 16.46233267 10.35151650 16.00724704 14.30722651 15.79534017 11.59343179
## [5503] 12.10664196 9.35472899 15.68419131 15.03387640 13.75597270 11.38629433
## [5509] 12.58730472 15.72262040 16.40470510 15.41099458 16.33432313 15.85393270
## [5515] 15.83089061 7.72539626 15.15216683 13.85163380 13.05028532 16.54683867
## [5521] 15.30898353 15.15998906 11.31600969 14.45874492 12.83639866 13.61191973
## [5527] 15.63878082 12.91161699 14.54764306 13.41703867 7.53410539 7.21773686
## [5533] 16.24219729 17.49152541 15.17423076 16.79171027 16.61291053 14.95407781
## [5539] 16.77032516 13.28977518 12.93281141 14.84875350 10.54249608 16.03637359
## [5545] 14.06688788 14.18485560 16.02495697 14.91810711 13.01321055 13.75497161
## [5551] 11.96546104 14.33769338 12.19357649 9.38495229 10.48858421 10.63893340
## [5557] 14.64384705 11.54304625 11.94799268 12.34271686 14.26587086 13.66898626
## [5563] 15.10605669 14.93337681 14.31699888 14.72292439 13.06714194 16.19888829
## [5569] 11.11403932 13.61086173 14.73777358 14.08759574 12.40754686 16.03804306
## [5575] 13.32500445 15.91063997 14.46223341 15.14794703 8.44699173 12.15088816
## [5581] 14.28532192 11.23973219 14.65484016 14.13278757 13.45768252 12.29959509
## [5587] 12.38710095 12.52517508 12.76919872 16.01380792 1.63510566 14.05412998
## [5593] 14.41304680 12.44325290 8.73286570 15.66663886 15.10849004 15.45955547
## [5599] 13.67131024 11.52058605 16.80603725 12.80149282 14.26177904 14.38605845
## [5605] 13.29686816 13.77785771 9.13219935 9.51423038 13.67215851 5.60539757
## [5611] 13.49477482 14.28264729 10.96530964 9.75735539 10.39456567 9.30447077
## [5617] 11.64022019 6.99774222 13.29785610 11.99932279 9.50045897 10.87334881
## [5623] 13.08863651 13.55180172 8.62565469 11.31083131 12.97144162 7.62517059
## [5629] 8.09270427 13.84970481 13.43889179 13.96333816 13.63749880 13.94930940
## [5635] 14.54498962 8.99768537 11.00381737 14.30290121 13.37696111 11.57358717
## [5641] 8.57932444 13.95068815 13.58403401 13.83421368 13.73350607 15.63465641
## [5647] 14.31051063 13.91544241 14.70829932 15.02179292 11.54599122 16.11823351
## [5653] 8.31678180 10.39847979 10.84172019 12.06579575 12.29400568 8.67318446
## [5659] 15.31745560 16.18371587 14.72115981 11.66174961 6.70830384 10.19098148
## [5665] 9.93600556 9.39551203 12.84232485 12.51295029 14.26879664 9.27822423
## [5671] 5.28005156 13.61885222 14.72577028 15.80881045 11.38562604 15.56193343
## [5677] 13.20831729 9.96897188 8.23619540 15.60837842 9.34930112 6.63544774
## [5683] 13.16646755 11.64540960 14.15327821 13.32629076 14.46278385 9.02685614
## [5689] 13.89820218 8.67084603 14.28468305 14.99892070 14.80446852 15.83222760
## [5695] 15.05912454 14.72428825 10.52955779 15.00512466 14.05657269 15.87743761
## [5701] 12.21936639 9.43753013 6.64536401 12.37873163 14.21430454 5.28528278
## [5707] 14.13382856 8.55698105 8.39902433 11.24037079 15.28361516 9.52463930
## [5713] 10.11221326 12.28088954 13.93899491 15.75649183 7.69369128 7.15776664
## [5719] 10.74810182 15.52107944 5.70989708 15.74560707 15.72926082 11.79429445
## [5725] 11.01065993 11.13939105 12.22009532 15.15727035 13.39248662 12.06931073
## [5731] 15.22168983 13.40395802 13.79752852 14.61227126 13.85827341 12.91412162
## [5737] 5.93282857 12.81758734 14.60896553 9.84408250 14.67464286 13.27661305
## [5743] 13.23134163 15.97989337 12.86393992 12.40026105 16.09676753 14.68666201
## [5749] 14.47420793 15.12823376 15.73162020 13.71404272 14.22129168 13.41337791
## [5755] 14.20940810 13.95045710 11.56323676 9.27842230 14.05567261 15.94803528
## [5761] 16.63404032 10.26855835 11.42516308 14.81372736 8.02813884 11.63815316
## [5767] 15.75374040 11.44325272 10.11258776 12.92994831 10.00881737 11.11120773
## [5773] 8.38341720 14.58220361 14.94768237 14.54814127 12.22213313 14.14611144
## [5779] 15.06978320 12.43621485 14.34838735 14.29568578 14.28168249 13.53979497
## [5785] 10.65630525 14.73168657 9.67907945 15.00781973 14.09743290 11.66696997
## [5791] 13.41434670 9.13481154 15.86149698 11.08789704 15.80248555 14.38497983
## [5797] 12.58072632 13.87588077 15.36975617 15.07662263 16.27601338 15.50158536
## [5803] 14.06883395 14.65401147 14.59223450 13.73564007 13.75181665 17.19133172
## [5809] 13.23153099 13.95231512 15.60684699 15.99554322 13.22628198 11.33763736
## [5815] 11.53948083 10.84922349 13.43375530 15.38885378 10.27831268 13.50501822
## [5821] 15.10466257 14.39266012 14.67037744 15.44479305 14.16841839 15.22189367
## [5827] 13.90494362 16.43758343 16.48863203 13.53382465 12.14617486 12.27118221
## [5833] 14.26077529 16.09482119 7.13911300 15.03509746 10.31199204 12.34197253
## [5839] 12.87950277 13.59692390 11.40862317 16.14170909 7.84036808 17.30153856
## [5845] 15.00044216 11.82985287 6.31429052 13.28684691 13.88837458 6.86486865
## [5851] 10.96960196 8.81010457 6.83504479 11.67618703 13.37548428 11.43981366
## [5857] 7.21015354 7.05690777 13.58957273 11.48641248 14.15759853 8.86296916
## [5863] 13.58513974 16.27196383 12.31120439 13.18740582 10.06617129 14.27301541
## [5869] 14.90679360 13.86431277 14.38826333 13.68282303 13.69698588 14.29564779
## [5875] 12.02784868 10.06068060 8.95316811 10.34753407 9.18573103 10.60131427
## [5881] 12.51825051 8.91855924 10.42816638 6.32172108 8.82775257 11.54767417
## [5887] 15.08594554 10.12423463 13.28150798 14.35906805 7.61597825 10.33731269
## [5893] 11.73871455 13.82646571 9.39607277 12.25927293 14.33415483 9.48436029
## [5899] 15.40710099 13.29340345 12.08890110 4.98804880 6.75519833 14.61406244
## [5905] 11.42868631 13.05049152 14.36961876 14.10994160 11.49506970 15.47609641
## [5911] 14.58867168 12.43181901 14.47610999 13.01286964 12.99062037 12.98263090
## [5917] 8.86676779 14.54948845 13.87571431 14.72268446 12.76563175 14.02848284
## [5923] 12.11872318 13.70982052 9.40455262 11.70144072 13.96992133 10.29290898
## [5929] 15.07248224 14.50094035 13.95225561 13.35483885 13.72672696 15.09381927
## [5935] 8.19489207 12.48347492 14.16802727 14.88384753 16.05886390 14.85574991
## [5941] 12.80956078 15.57627155 13.65865220 14.47080145 12.79473043 9.27822423
## [5947] 11.06361928 13.11473284 15.27345651 14.36002765 5.87927521 11.77916567
## [5953] 5.91612120 15.87577913 5.49958334 12.99158780 12.40535988 13.92940022
## [5959] 13.47577254 13.91784575 13.11445727 7.12356803 11.84287720 14.30487671
## [5965] 15.43760836 12.58456497 5.55864109 11.35781479 13.02793986 14.77334630
## [5971] 12.18564920 12.31559414 13.99633282 6.93874994 10.29742851 13.11556653
## [5977] 11.84220727 13.28795558 13.25146415 12.29801922 6.87772897 6.95338808
## [5983] 15.50770357 11.24637572 12.40118106 8.97560236 8.39082919 12.93890675
## [5989] 11.11151612 13.28959404 9.40113427 14.86429520 14.85258164 11.64995402
## [5995] 10.23167737 10.23090139 15.53748071 5.36405829 11.64676958 13.02677047
## [6001] 14.96049283 15.50097552 11.09074757 11.95224847 15.49693599 14.18844517
## [6007] 14.43567224 12.29112462 5.81090144 16.03443527 14.00569111 6.76181579
## [6013] 15.22515183 14.52709284 13.72788266 14.29800061 13.25048322 11.01188250
## [6019] 10.95090163 12.34561052 14.41290477 11.64623551 13.91900239 9.96695284
## [6025] 13.14438249 11.15844882 12.56103380 15.37145325 10.59508704 11.95748948
## [6031] 9.07959595 15.19417332 13.75408359 14.19837973 4.61343593 11.92294472
## [6037] 15.41650377 11.93779037 10.00706663 15.34648008 8.44987534 14.78649748
## [6043] 15.59247126 11.02089853 12.57066152 6.17730075 10.14338123 7.93335233
## [6049] 7.93223652 13.19020999 9.61588748 9.92445519 6.98651101 14.73209354
## [6055] 15.62075013 10.30972470 10.22261160 12.72826654 14.53370884 16.22823927
## [6061] 12.00840421 9.80415936 15.04263504 11.84994462 13.43039003 13.66795152
## [6067] 14.48492398 13.96555611 15.27727022 8.27213629 12.32103272 12.40353787
## [6073] 12.38787157 7.87788626 13.80941614 10.30972370 11.08810657 10.06206229
## [6079] 12.02304052 10.34119846 15.74985589 14.00176306 10.61225239 13.21688752
## [6085] 9.34997187 1.66581825 11.78745178 11.55593055 8.60900453 10.94185290
## [6091] 9.71312939 13.88971117 6.51552717 7.96455550 11.26339841 13.53231766
## [6097] 10.68557398 11.73732095 11.54599625 11.34171618 5.56160428 14.28154404
## [6103] 4.94278463 12.45175480 8.29009182 10.76784184 13.16970823 10.10467134
## [6109] 9.06622401 11.12942095 10.41003102 9.90768125 12.60605210 10.50526505
## [6115] 9.99466283 6.44846209 14.49026272 9.17126685 12.17180361 6.38188370
## [6121] 15.79338933 11.53611803 11.79526007 11.44251362 12.31011878 10.80918295
## [6127] 6.12396103 6.48882492 9.81197460 13.32908041 6.40692949 16.27416728
## [6133] 8.91612098 8.22180148 8.80586977 10.66075864 10.92575537 11.66990699
## [6139] 13.08052818 8.28576290 10.06585042 10.54857122 11.29795939 11.81341976
## [6145] NA 11.55462618 13.11316684 NA 11.76174550 11.98900236
## [6151] 10.35949779 7.90525358 10.03418637 11.82648096 11.30241231 8.07738816
## [6157] 10.02072110 11.42644079 8.10753028 11.50551709 6.72678481 9.28087339
## [6163] 12.51909189 12.20819394 8.26293042 9.98818893 6.65848590 10.04792680
## [6169] 11.47519940 8.88313823 8.35711129 13.55035003 11.60169421 12.71219223
## [6175] 9.49720511 11.04036272 10.68082605 9.69588573 14.59061197 6.16112293
## [6181] 15.46243996 14.98356490 13.51681679 14.90397570 12.09098520 13.87019641
## [6187] 13.18458977 12.51778066 15.98495159 15.91393200 13.34405040 15.59356233
## [6193] 13.78332311 9.47170491 11.17964654 14.03939004 13.92755382 12.96644527
## [6199] 12.68321830 12.62905611 14.40062732 10.56560887 12.87539613 14.62768092
## [6205] 14.24459301 15.35818793 14.76629233 12.78741582 14.59513324 13.93501336
## [6211] 14.70284377 13.67529891 14.32009114 9.56888507 12.51381191 14.29546053
## [6217] 17.29914729 14.33705163 16.75928919 13.76416000 13.18173296 16.02142110
## [6223] 14.65392386 16.19514906 10.94737364 14.81287404 15.77595564 13.37794915
## [6229] 11.25764837 14.06329655 16.87249618 16.02071820 13.77267816 12.21526898
## [6235] 13.21176049 13.77626326 14.65555841 10.48858644 5.63282339 5.01641854
## [6241] 10.91701914 13.44856472 13.63851444 15.84193754 12.71936437 12.52558091
## [6247] 13.16673614 6.80570040 14.21279409 5.19705953 12.73773189 8.48295779
## [6253] 13.78262043 10.28523972 13.07156817 14.83377050 15.89011005 12.35647048
## [6259] 12.88249830 9.74244459 4.42016503 15.81384041 12.18634462 11.48888674
## [6265] 8.24801094 7.23146789 10.85793786 14.49367423 11.67158024 14.81229876
## [6271] 13.66419108 9.07842596 11.65808905 6.20705968 14.77953546 16.36704622
## [6277] 14.37751116 15.82813033 11.51238202 12.87734552 15.37949099 14.83524683
## [6283] 12.54611030 -0.02020271 13.94887990 15.49922129 9.74273471 9.75915229
## [6289] 11.62925598 5.45253947 11.46795435 10.84974050 8.57130252 12.13237793
## [6295] 14.04211005 10.58731973 5.71294041 13.93296598 8.56821325 6.53822665
## [6301] 11.66158975 10.09256250 10.66805289 10.49915751 7.90712533 12.94227735
## [6307] 10.86559967 15.22658919 11.01719943 14.72098863 14.26841395 13.60305971
## [6313] 11.73256183 14.96203892 12.17166271 13.64782889 11.55905304 11.99858312
## [6319] 11.08083446 13.98339105 8.27207751 12.90662598 14.69583856 15.84404777
## [6325] 14.59165227 15.46854368 9.09639646 15.02617181 4.90764234 14.99023436
## [6331] 13.97100457 14.79009515 14.43024394 10.59158752 14.51230111 15.79061368
## [6337] 6.42546852 14.26378194 14.47061398 7.85853246 14.52192929 13.93202129
## [6343] 5.11553570 10.53758883 15.11337884 14.39978328 12.73332754 15.03772161
## [6349] 14.70035776 16.55971172 9.30762950 14.54472058 15.93956155 8.91536376
## [6355] 7.78212341 15.71395541 15.66447027 5.03649795 14.74373925 14.15630220
## [6361] 15.02166508 5.63300229 NA 13.76021210 14.21545737 10.30789243
## [6367] 13.33211080 13.98507354 15.16813022 16.02547304 15.47201012 11.14946814
## [6373] 14.86897479 12.12414563 14.76829043 14.71188084 11.92911433 10.86507225
## [6379] 12.62089296 11.20084769 13.45019002 11.90908299 9.00940953 13.33542453
## [6385] 11.71791661 8.22236834 9.15874282 12.25255286 14.47833557 10.87975366
## [6391] 9.07180792 8.83213531 9.24086182 9.01422329 12.14308444 12.27903129
## [6397] 15.72586527 11.63538563 11.28710747 12.36436138 13.94020253 13.22486309
## [6403] 11.19550736 12.05499251 13.72963735 10.17736034 12.52470891 10.34343621
## [6409] 5.43920911 10.46959054 9.50748429 10.38581092 9.92719236 9.80895267
## [6415] 11.25954072 8.39672129 12.13198510 9.40921582 11.08496671 8.30221868
## [6421] 11.03244959 8.03254850 9.25372261 10.40623211 8.57173630 -0.02020271
## [6427] 11.49246568 8.55461999 11.50955048 12.76268582 9.96748108 10.57153485
## [6433] 11.87576042 10.76563778 11.12419298 9.75007760 8.49761886 10.65590432
## [6439] 14.32290738 12.01514377 12.20810673 13.28279703 7.86008474 7.32026220
## [6445] 11.80767560 8.27919231 10.17215575 7.31262021 15.53915877 8.47612742
## [6451] 16.13472214 3.74761995 13.18475226 6.94233060 15.61271561 15.83933591
## [6457] 16.14898642 12.04494645 11.07723251 11.36096146 8.02503556 12.71687834
## [6463] 14.33724311 12.70751286 9.33269428 10.18673681 9.49289105 12.59489225
## [6469] 13.62929665 12.22956468 14.08285298 11.33682066 2.03731662 16.42545974
## [6475] 15.42140893 15.47090779 12.46778216 14.01140958 13.50370381 13.54350588
## [6481] 13.81382568 12.07814813 14.52478144 11.33753118 10.87043908 12.48237748
## [6487] 8.76276650 8.13207762 14.36796794 14.96672101 15.10496644 11.64446044
## [6493] 4.91265489 15.66730270 7.22172625 8.78856599 10.79949210 13.40646585
## [6499] 13.59861788 14.99056262 14.98487809 16.38667629 15.20120898 8.13108355
## [6505] 8.42684389 4.24963745 15.54941152 14.33169183 16.35737727 15.81213808
## [6511] 14.34564475 14.26744014 15.24695228 14.29095341 15.18834530 15.32015029
## [6517] 8.80579334 13.79581861 12.51714359 15.21951935 14.20556881 14.07965590
## [6523] 13.47676933 15.34409865 11.87470337 15.02897491 17.35379581 13.21634742
## [6529] 12.00655010 14.09304763 13.93355615 16.16817399 4.87931099 15.24994187
## [6535] 8.18457791 8.20833923 12.65194869 14.87124141 14.38386529 12.14204951
## [6541] 17.48086038 14.31539962 13.17091869 11.40890250 12.21238687 13.40027439
## [6547] 12.55200591 13.53063002 12.13565581 15.86975137 11.73697876 14.63105006
## [6553] 14.38009991 11.76020561 13.02518726 13.07368823 12.06986722 10.97321208
## [6559] 14.01073744 13.79252926 11.43413742 14.86471615 13.35560603 11.88838693
## [6565] 12.48441201 14.52311453 12.35092842 11.64893856 12.71320131 11.36866530
## [6571] 10.31185578 14.54418531 -0.03045921 13.78481827 12.86849259 13.30023736
## [6577] 14.23838570 14.08776270 13.41045411 8.16255617 14.38783100 13.04235518
## [6583] 11.70894075 10.88332926 14.07847623 11.04605979 14.53068784 7.99487512
## [6589] 13.31296164 10.86499770 10.45428976 11.71143905 12.16015577 8.37125139
## [6595] 7.51336549 14.09903421 13.98107864 12.24993895 14.21367283 9.15095124
## [6601] 13.00552981 9.64681824 13.57381673 12.84130108 12.09779410 9.40455427
## [6607] 13.88631345 12.17159838 13.57907336 13.65531754 11.25658326 13.99023490
## [6613] 8.73059181 10.46291361 12.36604898 11.77415663 11.38499800 11.20639799
## [6619] 11.98982607 9.63436485 9.68463727 11.86776618 12.94491972 13.72871191
## [6625] 9.42400797 13.97621586 13.28407793 11.71412177 9.84173448 9.44662836
## [6631] 11.62028961 10.24527883 13.41370483 12.12663174 15.66438052 11.12800330
## [6637] 15.48367043 13.97718199 7.99124378 11.28235012 9.36535925 12.91401198
## [6643] 10.89714165 12.12624683 12.98407323 10.85169295 10.72770707 12.03091358
## [6649] 11.25721985 7.90049952 10.66925279 9.69297514 13.33174716 0.94778940
## [6655] 15.69520819 10.52865296 12.22335386 3.63547868 12.29266173 10.81556040
## [6661] 11.54992795 11.84916589 1.36097655 11.67254621 11.63698485 13.01727347
## [6667] 12.94719866 12.38122351 10.72032142 11.95418555 12.21212633 13.44860803
## [6673] 10.32482667 11.11150910 9.13441136 8.78224001 10.91744224 9.47727188
## [6679] 10.74369627 11.23360276 14.42263904 3.62700405 14.80318744 14.07622936
## [6685] 16.40442584 12.75019807 12.08218302 12.51038570 12.26965144 8.50574794
## [6691] 13.16053822 14.87368441 11.70497357 11.76163524 13.95761214 15.83903714
## [6697] 14.58011107 9.99179967 NA 13.24444220 13.45547192 13.85366516
## [6703] 16.26730066 13.74083409 9.76393061 15.27711555 9.48794029 10.83297483
## [6709] 15.12235242 12.54469311 5.85188634 16.18698123 13.64224617 13.01003046
## [6715] 11.96674540 11.30997797 12.80604745 13.78740501 5.82363744 13.34935505
## [6721] 7.83455856 12.82027664 13.60358511 13.05702466 12.50668748 13.69628703
## [6727] 11.80267358 12.36980011 12.68722097 15.36681340 13.07006718 13.86359918
## [6733] 10.46281844 15.47560639 13.84335951 14.15558027 14.30444315 7.13833511
## [6739] 12.95609144 11.14440955 14.88614367 15.66550921 13.65104857 13.00335252
## [6745] NA 14.72872202 11.57799731 10.04223159 13.89822048 13.51987913
## [6751] 16.04888901 13.19835497 15.94735088 16.57799985 12.27038027 13.32444629
## [6757] 12.86450762 13.20561316 12.56688109 12.50459714 12.73320261 12.87102167
## [6763] 12.85100691 3.18759153 14.48866271 13.06630764 12.75176753 15.05563365
## [6769] 13.23344037 15.03685959 11.27717199 14.19363863 12.94839639 11.53006533
## [6775] 15.43297594 10.39570236 10.95452541 13.91752034 12.49540412 12.72528695
## [6781] 11.89521379 12.36288009 13.62672480 14.57957534 13.64206061 11.85119908
## [6787] 14.98526800 13.09669636 11.38112492 13.67071419 13.27716203 12.64499387
## [6793] 11.27665855 10.59971922 10.06456973 14.61649861 11.73881205 14.53797636
## [6799] 10.29638806 12.55504193 15.83373422 11.68616213 12.08293765 8.53142346
## [6805] 13.46456626 11.98070907 14.70733348 13.96289951 13.41716880 15.37981695
## [6811] 14.77644958 15.41566222 15.48192174 13.98864884 14.50123431 11.16053376
## [6817] 12.27396052 6.32290629 12.07234878 8.60042159 12.57548541 10.50207457
## [6823] 13.65649741 6.73627870 10.47902899 13.44879482 5.68809338 9.04471781
## [6829] 5.26574252 10.21264915 10.13020870 5.65273476 10.62430705 11.17281472
## [6835] 13.31296159 12.78553705 13.83490699 13.31330772 11.77274156 6.85018972
## [6841] 13.26526602 13.41246781 13.21369661 13.74046438 11.09498086 13.50439833
## [6847] 13.26908359 9.48158051 13.95296349 13.92564629 11.28799933 12.46379913
## [6853] 10.06090361 10.94362397 13.75103751 7.73370546 13.43654282 13.96888318
## [6859] 13.28084291 7.83458627 14.90649468 11.67405496 7.51212042 13.02186679
## [6865] 13.51093707 14.25980377 12.94092183 10.63257097 11.20461039 11.13376840
## [6871] 15.28912092 12.59836892 12.49685675 11.55075444 11.83870560 12.54420483
## [6877] 13.07035128 10.95927706 15.47060674 13.15045104 14.80130887 13.76359674
## [6883] 7.34886420 14.25246226 9.31649427 14.92554754 13.66832260 13.78347427
## [6889] 13.06691223 15.09552966 13.26071790 12.07500393 13.13026545 13.23404050
## [6895] 13.97138532 12.74474954 11.89581137 15.53797205 7.52757341 15.10211021
## [6901] 15.06825834 10.33005771 14.98905569 14.99670925 12.43862702 14.65749473
## [6907] 14.81185799 14.67473917 14.94637524 14.76144590 14.97323245 10.67702184
## [6913] 14.67905333 14.78618440 12.32107127 14.99294971 12.41555097 13.51610822
## [6919] 15.44553100 11.58937508 13.52160322 15.20012602 12.04423137 14.90359664
## [6925] 13.45578070 10.45947333 5.07173039 6.93872086 6.93347176 1.57691472
## [6931] 13.28929346 11.75535104 2.47317139 1.29198368 11.49512385 10.28352339
## [6937] 13.75428979 12.88781825 14.18443914 7.41414508 14.72051551 14.78509919
## [6943] 12.25345124 14.77376004 13.66161258 13.39750067 12.15491276 14.94654527
## [6949] 12.90825471 14.53953376 13.52142461 11.03297703 12.47205647 12.99686854
## [6955] 9.71804854 12.80918568 14.31693018 9.29262702 10.88733936 13.81738692
## [6961] 12.12930499 14.13548917 12.31715810 14.36854252 7.28958322 13.40929974
## [6967] 10.73196513 13.13762684 12.17241560 16.43103532 11.67896959 12.72151652
## [6973] 9.83596645 13.75499848 6.56053549 6.75519833 14.73802713 13.66604609
## [6979] 12.41786101 15.15359763 13.17028772 10.72725019 14.94233684 15.13804596
## [6985] 11.11349824 13.98238186 12.30923000 11.84560703 8.96520425 14.41258059
## [6991] 14.72159439 11.34329211 14.91371184 12.36269842 13.23441662 15.66258431
## [6997] 13.29913649 4.98804880 10.45565280 14.02146071 8.55449283 12.50104900
## [7003] 6.75519833 12.81906399 9.44735685 13.10960011 10.02368190 13.81821598
## [7009] 12.14271023 11.26343922 13.87526520 9.30488571 15.07924249 15.25373170
## [7015] 10.94992089 14.72604463 12.61034888 13.04415432 12.49281082 13.41787941
## [7021] 14.76020285 16.17842598 14.91596829 14.48103325 13.28460567 9.74386501
## [7027] 10.99302933 15.12026694 13.22049175 14.67737081 12.30966052 15.69994130
## [7033] 11.81975370 15.31602224 15.04014968 12.99721909 9.51440083 10.86731261
## [7039] 13.94998293 12.31454173 15.83869142 11.88111409 16.03251742 13.23762578
## [7045] 13.09692667 13.88769568 15.34626739 15.14365623 11.64862133 11.54928459
## [7051] 13.76502403 16.15021821 14.98191366 14.27726228 13.44872559 13.48966400
## [7057] 15.72941632 15.66766738 12.93078244 14.16466902 12.66401192 14.14538711
## [7063] 10.88586542 13.80618979 11.16134950 14.66005892 12.96767419 14.03893940
## [7069] 8.78960375 9.16368578 13.16936459 12.83376043 12.24930444 12.02775480
## [7075] 6.88577548 9.68883783 11.84626509 9.82450062 11.07611689 11.93676938
## [7081] 14.21504976 11.73128230 14.39463309 14.06656950 8.50834012 13.16776090
## [7087] 8.51673909 12.08182658 10.48233830 6.33532017 11.40332006 12.29701599
## [7093] 13.89517337 11.37537366 13.23529818 9.51994195 9.50681914 12.91676515
## [7099] 14.14349345 14.12947433 12.46047138 13.68101233 14.10709501 10.83767891
## [7105] 10.14145193 12.00592319 10.65429237 11.02397988 8.26086507 12.42298840
## [7111] 12.16813716 10.99356250 14.33620937 15.32376912 13.65299205 15.26964422
## [7117] 13.90540034 12.73462975 13.42184201 15.07611722 14.24112506 14.90369444
## [7123] 8.06973978 11.50679531 14.08937035 13.79420863 15.19835896 11.82783182
## [7129] 6.76687121 15.20276333 13.37907544 15.00941540 14.00195513 14.19094101
## [7135] 12.38465213 13.61911638 14.43526954 15.06903018 15.08305316 15.11904424
## [7141] 15.56766194 13.79524077 12.27107557 12.19248130 13.90950149 11.05163798
## [7147] 9.79876850 13.08656510 6.62645281 7.84036808 5.53315231 10.04247746
## [7153] 5.49958334 11.32330506 12.38017203 7.76190674 7.37483589 15.34478809
## [7159] 8.44194149 7.83874938 13.29022589 5.36401147 9.02654493 4.86275381
## [7165] 6.93872086 12.35463424 1.72810944 9.99839311 8.52088836 12.13735104
## [7171] 13.93876630 13.56680399 9.34947951 14.02859245 12.58819263 13.73950254
## [7177] 14.03180998 12.60051604 14.84175595 13.79145948 14.68760724 6.13720856
## [7183] 11.05376887 9.58401824 13.98238180 13.60966023 10.13536247 8.82406005
## [7189] 14.57479501 13.00896083 14.50615943 13.97256407 12.20434525 12.50933905
## [7195] 13.00443520 11.93220965 11.81050517 14.72096475 10.57939040 10.70033440
## [7201] 10.35386070 14.11356991 14.70528752 9.56966450 13.78358144 12.24374895
## [7207] 14.90061176 16.78961994 11.19697107 14.03128230 13.94494815 15.24421252
## [7213] 11.92943859 9.48922738 11.56510939 14.04178858 13.72888038 14.56278298
## [7219] 15.46128905 12.84271185 10.90876689 14.60708188 14.14256876 10.94381020
## [7225] 14.57152549 8.27542477 14.22519658 11.29819145 14.10879226 14.96427011
## [7231] 10.04236824 8.89210012 11.48408515 12.75669604 14.08799003 14.36998305
## [7237] 13.39532827 15.00017092 13.00920863 14.59837101 11.31449026 11.03825191
## [7243] 12.33837567 13.56102753 13.96614565 14.66056083 15.15246888 14.99114055
## [7249] 14.01467353 16.04157036 10.00536295 14.80649217 6.62419802 16.39623940
## [7255] 15.66366440 15.35168114 13.99417616 14.35036136 13.94779027 14.50525119
## [7261] 14.69686029 12.11822543 14.44662667 14.14343493 14.80346421 15.60490534
## [7267] 11.92341586 11.63436403 13.02739890 8.55540570 11.72947130 14.63700750
## [7273] 12.00598305 3.07961376 11.68665379 12.92603241 10.87944320 11.62484807
## [7279] 12.52476129 13.82176557 11.55461956 12.51196413 10.39564551 9.64034979
## [7285] 10.41143434 9.40480704 9.65178119 12.14140654 11.07091421 6.84568837
## [7291] 8.56329021 10.16243367 9.96021849 11.33124158 NA 11.65959109
## [7297] 4.84795949 8.38026174 10.08213779 8.54670345 NA 9.23560550
## [7303] 12.28501247 10.60168372 13.02625590 9.93768268 10.72328236 11.68300633
## [7309] 11.18280287 10.74944637 5.45403824 8.35360781 11.67233299 6.99150802
## [7315] 10.74211335 7.03494284 7.55773396 8.41738612 10.55141009 10.30602137
## [7321] 12.42828584 11.35702237 9.08599296 10.88009152 8.50667204 7.82435396
## [7327] 9.72987675 NA 10.88463188 13.16491697 15.24229488 14.08040859
## [7333] 10.25824130 14.16819445 11.90829875 7.18540217 12.09543802 15.27574773
## [7339] 8.92391884 11.78433089 9.81857924 10.21123288 8.38229172 11.33137289
## [7345] 9.42989830 8.06567367 10.32696971 7.55248398 12.87595808 9.04934499
## [7351] 12.49684520 8.47301557 NA 6.99628800 13.05149474 14.32441291
## [7357] 14.28181061 7.86048979 5.86129891 9.67560090 6.09307303 15.94320963
## [7363] 13.24518955 11.83160281 3.01504458 5.87349712 5.55004837 7.57832960
## [7369] 12.38562663 9.10506096 7.90412441 6.87542835 8.04624191 14.06782727
## [7375] 6.13686275 12.67474861 9.02045025 6.51539394 13.10040229 13.64488458
## [7381] 6.05215975 10.34879401 10.05785278 6.51886701 4.84528884 9.16018222
## [7387] 11.43437835 7.86388961 8.11313909 7.15256638 11.10708083 13.29524615
## [7393] 9.79367603 12.00353905 11.54585315 14.34887072 13.72033912 14.72917283
## [7399] 14.11078988 14.49888354 15.48135401 14.34705957 12.12879946 13.94061569
## [7405] 14.58858894 10.52098242 13.96343606 12.65011858 6.09309562 12.28262027
## [7411] 14.13226195 8.07890526 12.93787367 14.31977899 14.70106783 6.30829879
## [7417] 5.30955400 9.73455338 9.57193858 15.23731260 14.95950985 14.23619473
## [7423] 8.94339905 15.36829563 14.55667657 10.27791941 14.37847414 8.68137963
## [7429] 13.33109485 13.86961552 10.47802545 11.78850252 14.74791950 13.76668024
## [7435] 14.80419674 12.79672836 15.80326162 15.99159643 11.85032898 14.04028944
## [7441] 13.58277444 16.88709150 12.85124245 15.46701504 12.93161463 4.42652187
## [7447] 12.55298608 5.50776759 12.46295186 12.97430608 13.86725688 13.23316480
## [7453] 14.03391376 12.42903102 13.03795389 13.70045475 14.48532233 10.11549331
## [7459] 14.65969407 5.88120315 14.41160671 7.74884821 12.22956532 15.53869583
## [7465] 11.22256848 9.30762950 9.07959595 11.74842042 14.34585116 15.35321184
## [7471] 12.83942534 14.49417651 12.32316144 13.71599314 15.17927659 14.70496632
## [7477] 12.51263166 12.70141676 12.69915863 9.90677614 14.93825040 14.69560564
## [7483] 14.31102651 14.35033037 11.78162523 13.07177276 3.65583960 4.90334700
## [7489] 6.46455715 15.96279621 12.22833646 15.00365424 14.13597398 8.03358382
## [7495] 9.66760445 13.62041239 3.43849317 NA 8.14481851 8.11131000
## [7501] 4.57306013 10.34626290 6.28978978 7.95971262 13.55045349 12.69436694
## [7507] 11.07291177 11.32470869 7.61034771 14.57872976 4.11887456 4.08765557
## [7513] 9.79488066 10.05860705 9.11167186 12.03344045 9.64613680 8.88861467
## [7519] 16.12051144 15.50327260 11.25477397 7.33195054 11.85771650 9.68814661
## [7525] 15.16735583 8.39300317 10.79274598 15.01971172 7.23103372 14.86735430
## [7531] 12.05709810 12.92273599 12.75165954 14.42786086 14.24861180 13.58342526
## [7537] 14.25884030 10.14093866 13.57716404 14.83459938 14.71345758 15.87356121
## [7543] 15.55427945 13.37340764 12.93318444 11.90994871 13.36892243 14.91622812
## [7549] 4.98804880 15.18882822 15.05814318 14.12484069 14.03339033 13.39673777
## [7555] 15.17804118 14.55150648 12.64210233 11.75644019 3.62726997 12.82954461
## [7561] 13.36950459 11.01587075 12.58592958 13.11432711 11.99995213 12.55155092
## [7567] 8.19489207 14.67740484 15.11311806 13.79948951 13.05548843 13.37962027
## [7573] 12.91331435 13.24371906 12.63862528 15.59238574 12.18283902 8.52381124
## [7579] 12.22100599 13.32429913 12.07400133 9.46182490 11.65184114 12.42028887
## [7585] 10.09697116 12.44449559 11.69138733 11.86337471 13.89688219 15.49226688
## [7591] 14.32263116 7.91470539 10.92817393 11.16863918 8.60994373 15.03163287
## [7597] 15.04141841 13.51601421 9.20330367 13.62482553 16.65354706 12.41334390
## [7603] 12.22794103 11.82904666 11.92104651 10.76524987 15.28158227 13.52385911
## [7609] 13.78950375 10.18840706 9.05866130 10.41029702 12.38594809 13.22217034
## [7615] 12.96599404 13.23479609 14.09474693 12.47318198 11.51231008 12.05780950
## [7621] 10.51850615 14.15902554 13.02227414 11.27638774 12.57109176 14.50132838
## [7627] 8.75782611 11.18148292 12.95592988 14.11789932 12.13242158 11.73763938
## [7633] 12.53142587 10.39600001 11.49333369 15.28502189 10.62840541 12.56985400
## [7639] 12.92595482 12.97166639 12.86655063 15.97053229 11.62408501 8.36649122
## [7645] 13.53815319 16.08230353 11.04166136 14.18611913 16.46338693 14.08989171
## [7651] 14.51166768 16.86417678 14.52486648 12.60178084 5.01688241 13.85453906
## [7657] 13.56732003 13.21223743 12.90304493 14.39314635 8.98125546 14.12249276
## [7663] 15.27965443 12.04893193 16.13131820 12.38036745 10.41217449 11.34164782
## [7669] 14.90096732 13.62522238 10.15426767 10.55416372 12.74307933 14.09412742
## [7675] 10.98347140 9.78979520 10.66004254 13.30468722 10.08135002 11.76895053
## [7681] 9.75232682 15.71782657 10.36810483 13.09137562 12.99979829 13.21219388
## [7687] 13.88596872 12.88328727 14.84582075 11.01320973 14.11161997 14.96950054
## [7693] 7.44801348 10.48979145 15.70915945 13.11168521 14.95105149 9.83114640
## [7699] 14.55814935 13.13463078 10.12500098 8.01986934 10.97135674 13.55383394
## [7705] 12.79364537 12.70503702 12.73681465 12.17257708 10.86354442 15.23935532
## [7711] 9.68083825 10.65640299 11.75840874 12.93656501 11.38708182 10.70189907
## [7717] 13.57279487 14.32727624 12.54660737 13.90543434 14.60483901 14.06637932
## [7723] 14.56055988 13.56666598 11.73098105 12.33377191 14.05610539 10.09745684
## [7729] 14.58357916 6.78079652 4.87771324 8.16532098 15.43150172 9.94688511
## [7735] 13.56689284 14.78993637 6.19000798 15.22427552 12.25382413 14.36691822
## [7741] 14.05208621 12.78240263 12.81376496 13.84454179 14.36232295 14.48114723
## [7747] 11.54308409 12.00176152 15.13241036 11.60224858 13.71846693 12.34716883
## [7753] 9.16258397 14.50429273 11.22180803 2.71204222 12.31167720 7.34306394
## [7759] 12.50833798 12.55632764 13.43108609 14.85650039 13.81128952 13.17537155
## [7765] 13.23373633 11.35475495 12.82802155 15.58173406 14.95597005 13.78349283
## [7771] 13.13439155 14.15856123 13.03089886 14.45042485 11.46849718 13.94122921
## [7777] 12.80057562 15.01680933 15.06667561 13.62911525 14.34308462 15.26204468
## [7783] 13.62740235 13.76988850 14.47495990 15.22760336 13.92068265 10.90701872
## [7789] 12.38941035 12.82293366 14.31163784 14.90393635 13.06784696 10.77783775
## [7795] 13.17338727 15.44741538 12.22060494 12.58038418 10.38955767 15.37960655
## [7801] 12.47279268 10.07529318 14.07040408 12.08926031 6.21324717 12.39557751
## [7807] 15.73254993 14.36295484 11.65984184 14.91285633 12.45942776 12.92933757
## [7813] 15.86119004 11.84527557 15.63858192 13.42470433 11.11280977 14.25943451
## [7819] 13.95464672 10.93822439 11.94324668 15.44811474 12.41976932 15.66107102
## [7825] 8.51333175 15.35111978 12.37431222 13.18847929 14.79082462 5.28801447
## [7831] 12.09370094 14.06046659 11.14347816 8.01732729 14.11597740 12.60214683
## [7837] 14.11941019 9.08445057 13.94603441 12.44652116 12.36505512 14.55418993
## [7843] 15.17332952 14.94783107 5.37300731 11.98541831 12.19020040 15.36130471
## [7849] 8.51116908 14.49992143 14.02136267 11.12936695 12.49660827 11.96790206
## [7855] 13.37890401 14.46243970 13.12421923 7.79864205 14.30208027 13.94743899
## [7861] 14.29696145 12.49740173 12.26024696 14.73334203 15.46471707 10.92865637
## [7867] 10.51022790 11.07713032 11.38929122 16.37270902 13.57211217 4.88582764
## [7873] 12.24635299 12.89448820 15.03363095 15.61546235 14.12640016 14.01942759
## [7879] 15.41417407 15.63889816 12.25427049 11.04212280 13.27681185 11.53648553
## [7885] 10.24876307 15.19419451 12.22331042 6.84414433 16.18817831 11.87220282
## [7891] 11.64349555 12.61767839 11.70863854 15.25029549 12.25706895 14.19921644
## [7897] 14.74857862 14.77973863 8.94960788 14.26643436 14.14605747 15.19974929
## [7903] 8.01499359 13.88176669 12.95753850 11.62895122 11.57493238 15.13258458
## [7909] 12.03271912 10.23549232 13.29101650 15.46622691 13.37082692 8.69669411
## [7915] 8.46448416 10.66976390 11.47956939 12.06663252 12.10875365 8.97548981
## [7921] 9.83148766 12.67497701 13.76608571 13.81585510 9.15212846 7.08977679
## [7927] 9.85381715 6.60101270 8.29125825 9.90426725 12.60975830 11.50439781
## [7933] 11.25875102 12.78989022 13.84285394 12.55644215 13.59430513 6.94642776
## [7939] 8.85335538 14.86963588 12.24753838 11.90121328 11.07159528 9.72880733
## [7945] 10.42286332 15.88503636 12.63588813 12.18968022 9.66163635 11.22951758
## [7951] 15.50391140 7.80214799 11.00374599 10.80873169 11.02950438 16.19569613
## [7957] 14.33383463 12.60514275 13.24748273 12.35369173 13.01077616 11.90140941
## [7963] 10.71835733 12.51090438 11.25970974 10.58170027 12.61154519 15.83900446
## [7969] 9.71546437 10.42906661 10.77397767 13.44065033 13.12073537 14.59697469
## [7975] 15.21374927 14.83014241 11.60770223 11.48269386 15.71369358 15.93661048
## [7981] 12.36701423 14.79871026 12.95438408 14.98406573 13.85857978 9.36823176
## [7987] 16.30530279 11.87796232 15.23108150 9.59806301 15.61576539 10.23205938
## [7993] 12.22161897 9.64737973 12.44752626 12.37390461 12.66937553 12.54513805
## [7999] 11.15777165 12.87939368 11.58100599 11.65115850 9.34346906 7.12691490
## [8005] 11.95392283 9.90255762 11.60546654 10.42563761 11.70619174 9.09728029
## [8011] 13.29412108 6.67958662 14.39898988 14.32910844 8.37161698 11.78485560
## [8017] 11.29306141 12.26675552 4.92100230 15.53135760 13.38388521 11.36394553
## [8023] 14.82182544 12.13899180 11.84047595 15.55815848 9.30762950 2.73306796
## [8029] 4.16060036 7.15971172 8.94895872 9.02426016 2.48823444 8.91190469
## [8035] 8.83241844 8.92337671 3.13896644 2.73306796 8.86549942 8.86827673
## [8041] 0.88376754 13.76486095 14.12174594 13.54810564 13.79291382 15.54186608
## [8047] 16.05410759 13.38271645 10.02927579 11.93851419 11.24417898 10.27293542
## [8053] 7.27429243 11.38553802 9.99550915 7.66009076 11.65584251 11.48253223
## [8059] 11.49856850 9.99193744 11.21024088 11.31915465 15.66215046 15.78181000
## [8065] 13.51078286 11.77169667 11.03380198 10.04775325 10.26330236 9.52319665
## [8071] 12.42211420 14.64221970 11.43113617 14.85586177 11.34867315 13.23475330
## [8077] 6.08570597 8.72699372 9.30762950 15.37093953 11.89122538 12.77570343
## [8083] 12.50405202 5.68140052 9.19678086 13.56228748 13.93862651 11.29151416
## [8089] 10.95820159 14.20932996 13.63423345 11.70722796 11.31707857 16.01182653
## [8095] 3.96632178 14.62306199 9.76606804 2.79910893 0.90421815 0.90421815
## [8101] 12.00472544 14.47288826 11.58374099 14.23576898 14.68710472 14.00841215
## [8107] 15.30804072 13.03922963 11.43808984 13.17485563 13.64761122 13.19415125
## [8113] 12.64340270 10.64256534 3.20922945 14.64940025 13.01595173 14.56302316
## [8119] 8.86291962 9.35624601 11.08462055 7.97078184 7.46257099 11.65663214
## [8125] 13.69224707 13.05139527 9.77809892 8.80710528 12.59452346 10.38416712
## [8131] 12.56513267 14.32910649 10.14178727 11.11925601 11.43211956 11.60544102
## [8137] 9.07959595 5.31167772 11.49169447 12.84164439 16.16678527 9.78883735
## [8143] 13.07167731 10.36390412 12.41003313 11.24722378 14.56080046 12.25270610
## [8149] 12.53422962 11.47194846 14.55032385 4.16106819 8.29205014 13.47413639
## [8155] 15.02360970 11.61055060 14.72140934 11.19219610 15.91858954 13.60693461
## [8161] 13.51818039 15.64699192 12.98742826 16.07148639 13.92270286 10.18585880
## [8167] 14.28608379 12.92595679 15.14589606 13.69892086 15.68301885 14.69610657
## [8173] 11.54502792 11.81851167 14.24327032 14.42770724 15.90621360 12.94463148
## [8179] 12.71656160 11.27820832 14.82575039 12.13241373 13.55410801 11.12625880
## [8185] 10.63196134 13.46675486 12.21040101 12.12094713 7.15583336 9.41596822
## [8191] 13.08311379 12.97112968 13.72219308 14.21522661 16.29057040 13.36682702
## [8197] 12.21187935 10.81734192 15.02427510 13.36681728 15.42833616 15.06538009
## [8203] 12.70060994 14.99863461 12.39961382 14.74492699 12.05759091 12.70905184
## [8209] 12.13451617 13.50207018 12.20847341 14.43054454 7.92681557 14.13143038
## [8215] 15.14473206 14.82828519 13.17065187 11.56847776 9.78528774 14.62334274
## [8221] 13.65861911 13.78915967 15.78882945 11.66808529 10.87390466 12.38472063
## [8227] 11.36888175 11.53672255 14.18940103 15.37155908 14.03212774 14.25689081
## [8233] 11.46553926 12.39106015 12.75623971 13.90076734 14.21593004 14.61722407
## [8239] 15.59760110 13.39824480 11.44767373 10.86061749 10.56925634 11.51583543
## [8245] 12.84376988 11.89171725 8.41441600 14.20851397 14.19921012 15.34043088
## [8251] 11.51085723 5.76434435 14.03735717 13.00548101 12.26477193 12.31971186
## [8257] 11.39538530 13.07238696 12.47022385 9.39959368 15.88561857 9.66022611
## [8263] 15.26137354 10.52048075 8.01907318 11.65282566 12.37177469 12.83742671
## [8269] 15.24609249 11.80367832 11.22742767 12.10404767 11.14513858 11.55641542
## [8275] 13.08222890 11.81695959 10.26821052 15.76712247 9.30697967 15.04424489
## [8281] 12.76224428 12.88111375 16.31608543 10.69605351 12.18855485 10.94133517
## [8287] 8.20278103 13.91501870 14.75481915 11.80989998 8.83014820 10.04702973
## [8293] 15.69746299 14.82758958 13.41885232 14.20598410 12.23921841 15.40963089
## [8299] 5.85853297 11.53521646 11.72733587 12.18150143 12.78548823 14.84478574
## [8305] 9.46507638 15.98542373 10.59667148 9.90589914 12.10683673 9.43515612
## [8311] 13.32378235 12.27302651 15.73772100 12.51246848 13.78144193 14.72097908
## [8317] 10.49947963 16.53997474 8.32935645 10.92328460 9.94662463 10.30916131
## [8323] 13.46933121 13.83601900 13.29363288 11.04311846 12.06664315 14.60660399
## [8329] 14.68517691 14.56282877 10.15514859 12.90144971 14.51431867 13.57835860
## [8335] 12.56034337 13.52447658 13.00435904 11.60667078 13.47865058 11.03604174
## [8341] 14.91721283 12.16403846 6.06504023 11.78243430 13.83946327 11.00938937
## [8347] 13.89115461 10.40684133 13.40429706 13.32610235 14.81125806 14.01669019
## [8353] 13.40724679 12.34493988 7.00169179 10.94818680 9.31487785 7.37069023
## [8359] 8.73779271 10.29862080 11.77043713 13.11916884 10.24324368 9.98788844
## [8365] 11.43718394 12.42022982 13.28240722 14.46610383 12.04758821 7.00076281
## [8371] 9.70926789 13.48030825 12.06372392 13.29459541 11.06402464 14.79583212
## [8377] 13.00487787 15.31863910 11.77650222 10.48880812 12.05831459 15.70713880
## [8383] 12.88455391 15.40419223 15.64515500 13.36938738 12.50920753 15.60288072
## [8389] 13.69672815 8.91895144 10.54778109 14.44254248 14.08886912 12.74153306
## [8395] 15.57136086 13.46106679 11.84174363 12.82180889 12.84380706 15.66317000
## [8401] 15.74644986 9.30762950 16.44992957 15.20039368 10.61280454 13.46940437
## [8407] 12.08496428 15.61777038 12.61870415 15.41685341 11.05108269 10.64611014
## [8413] 14.96019792 14.13954099 13.02552969 15.53607360 13.21592678 14.32386708
## [8419] 15.82970491 15.73060037 15.44784205 16.23060247 9.64242729 15.73553696
## [8425] 15.30925392 11.47530978 14.42921605 12.27160745 8.73575988 11.71029892
## [8431] 13.79834414 12.40340497 11.39890613 11.40539894 11.29164031 13.13553497
## [8437] 8.71908042 15.32032475 9.18057371 13.22251429 11.41614283 13.45311964
## [8443] 11.85012793 15.97993741 14.22848710 12.48096366 12.61341602 9.46277861
## [8449] 11.48084897 11.41092164 10.30729696 15.27370513 11.59108236 11.46381326
## [8455] 11.23610605 11.94349955 7.89053762 8.30442315 15.39553572 15.37846796
## [8461] 14.44258364 15.31040129 11.31307709 12.67270384 10.98053600 7.65089666
## [8467] 8.39583879 13.49059284 8.45018121 14.82561141 7.56138170 7.88515616
## [8473] 8.78750121 14.35448432 15.38019552 12.08706949 12.49009272 11.95409646
## [8479] 13.86220810 10.45062698 9.50409224 15.15341280 9.79633154 10.82509632
## [8485] 12.47938149 12.59949496 15.66032488 13.31147655 12.51126015 10.77752360
## [8491] 12.23638422 11.24549311 9.65576887 10.84112345 15.50637608 15.02749512
## [8497] 8.49153686 12.13073711 13.61905319 8.08095233 12.62782922 7.30816094
## [8503] 12.08785016 14.92737703 17.06020552 6.19099141 5.64707102 15.02389198
## [8509] 7.19338525 9.76046382 14.41966326 11.81535269 11.12276893 4.90608926
## [8515] 13.22416817 3.48798651 16.57309777 12.92236940 10.05245870 13.42099560
## [8521] 10.56480500 11.38607071 12.55041947 12.65497508 15.11893200 8.24990181
## [8527] 15.94181325 12.84306828 11.87255192 15.44286074 12.94295399 15.77200830
## [8533] 13.10062130 11.05635615 9.51480803 11.49804175 11.53610464 8.14610632
## [8539] 9.04609878 11.07208133 13.34264859 14.10611463 9.95313211 12.24014600
## [8545] 12.00987040 11.65200665 14.97838174 11.28224697 9.55279042 9.05419520
## [8551] 11.96925680 12.95102454 10.67978538 13.42179930 9.83582522 5.99158954
## [8557] 8.96210463 10.86791929 10.38894706 12.70107479 13.02470497 8.16298663
## [8563] 15.83029939 9.34213413 11.47753121 9.07491690 14.29166517 15.06667645
## [8569] 15.01453071 7.48805286 9.04842126 11.38523504 NA 10.37098899
## [8575] 7.85472651 13.17821113 3.46760915 13.03397617 15.12654667 12.12359574
## [8581] 14.73581518 13.93211999 13.89509670 14.96165207 12.57415176 12.72425485
## [8587] 15.29179867 14.39193610 15.51295935 12.89258778 15.08346781 13.80080017
## [8593] 15.95947462 12.83579447 15.14219778 13.78378903 11.34603003 13.39039813
## [8599] 13.21454115 15.26327358 9.30762950 7.42131516 13.70469228 13.46006824
## [8605] 6.66609128 13.07821003 12.66961825 7.61179789 14.38566918 13.53074912
## [8611] 4.81656499 15.29411081 13.80295063 12.14749785 13.75461493 11.17856037
## [8617] 15.21935634 12.92702622 13.93343654 12.16497613 14.99637569 5.03922275
## [8623] 14.37824071 12.51711685 16.29761182 12.19741331 9.30762950 13.87152772
## [8629] 14.94224381 15.85549160 13.10239291 7.18992971 15.29484711 9.40097809
## [8635] 11.38529139 14.73300083 10.58713727 13.03562863 11.10849382 16.17374257
## [8641] 16.61619743 14.52143908 7.63668940 12.70584209 9.49797344 14.25645197
## [8647] 15.33931827 12.02467133 6.75314616 12.89738998 12.33699007 13.87118846
## [8653] 15.94090604 16.43489686 16.53909252 11.98409610 8.86417147 12.41696647
## [8659] 11.25445094 7.42460671 11.60582073 14.07837003 14.36628860 11.24553440
## [8665] 15.43066883 13.07787613 12.72004337 12.92126359 13.02618418 13.52167274
## [8671] 13.19072376 8.35845534 13.81352079 14.26486016 12.33651284 16.42367271
## [8677] 3.84929618 11.79786220 7.88143151 15.83048719 14.53156424 13.79040333
## [8683] 8.16719023 11.07333619 13.05895269 13.26811882 8.08375444 6.58342305
## [8689] 6.87311207 13.75349106 12.79027264 12.68680409 10.96492224 7.87397838
## [8695] 4.56912841 13.27063522 13.29280095 13.86417951 14.58961982 13.38959525
## [8701] 11.50053229 13.86212863 9.37350884 4.53539129 14.23622300 10.79298390
## [8707] 14.78570399 11.54937822 12.12143851 8.98844729 16.02244088 13.60967835
## [8713] 14.84163862 15.47849099 14.25162481 13.22089398 12.74382201 15.90737014
## [8719] 8.62690463 1.13783300 14.18615565 16.48472025 15.56019181 14.56082450
## [8725] 14.84612825 12.09201677 16.32053444 14.48358277 12.40935719 15.72758462
## [8731] 12.87283399 12.19763949 12.05175499 15.17822735 14.51814877 11.64879707
## [8737] 14.29209929 11.69229174 15.16040928 16.08267867 13.83638524 11.22256848
## [8743] 9.45152500 9.01190041 12.44576129 8.05343561 9.30762950 13.65979232
## [8749] 12.19305630 15.75278401 15.22166959 14.74243858 15.70813152 14.55811416
## [8755] 11.09873535 14.62170410 10.56911424 9.56365006 15.79070483 15.45027466
## [8761] 10.18968440 8.70451058 16.15036349 12.46638585 13.07005401 10.19572386
## [8767] 14.61145122 12.69645193 12.11522820 12.54921466 14.82409507 12.64937883
## [8773] 3.00221124 13.47182853 14.52597750 14.87496131 12.35081901 13.08202760
## [8779] 12.94623265 15.77710802 8.20555170 13.67046901 12.01543936 15.48936173
## [8785] 13.14457573 14.83171964 15.56532679 14.80162226 14.67034446 15.80361661
## [8791] 14.91616565 13.95473168 16.17088188 12.23379496 15.64192763 14.71074180
## [8797] 15.54148960 15.10807049 14.32137820 15.50580347 14.54890290 14.30252649
## [8803] 8.71625386 9.19354817 13.51108705 13.60079896 8.93019781 12.53090121
## [8809] 14.79379068 10.44817649 13.94207440 13.40914019 8.96796431 15.57498595
## [8815] 14.71961253 14.69802704 11.17660454 13.20329432 12.47979877 13.40550027
## [8821] 11.42106486 11.12062645 15.20583017 14.58301618 15.60356619 13.72790310
## [8827] 14.80244945 13.30014478 13.96953019 13.78742924 11.00154302 14.15432511
## [8833] 11.51010539 14.27229626 11.38546293 9.99096990 13.23312375 14.09296942
## [8839] 13.57865803 12.45019288 13.96997980 13.17032171 12.51566586 10.38037711
## [8845] 13.76092044 16.14490273 9.52892646 16.24661703 11.85861445 15.90244108
## [8851] 11.51835719 13.06943234 11.36565463 13.63149061 14.08228992 12.70285156
## [8857] 14.87503305 13.07205511 14.60349221 15.73327937 10.98121118 11.15541060
## [8863] 13.69405521 11.03683277 12.08630901 12.49113745 16.39898718 13.46606459
## [8869] 14.76661141 16.00689245 10.59048461 12.71366940 13.87140627 12.66984078
## [8875] 11.41872269 13.30386934 12.02528743 13.62727555 12.56361722 12.78975883
## [8881] 10.66833171 12.50013439 13.38449349 13.54472101 14.02618794 12.31505471
## [8887] 12.65438244 13.15008539 13.09955395 14.50693925 12.67546506 13.45378712
## [8893] 9.12445672 10.63484291 9.30762950 12.58670338 15.06801961 15.45208476
## [8899] 16.28818614 8.95883850 6.65277270 13.36057353 8.39427725 12.82358787
## [8905] 11.50954245 11.71518714 8.24126840 11.36475591 16.22098993 16.17526974
## [8911] 16.17555519 9.30762950 12.36609065 12.01606595 11.47576374 12.07952158
## [8917] 12.67378221 14.04338059 15.34730574 16.06105183 14.79147292 15.59485778
## [8923] 9.30762950 14.08035158 15.97574472 9.77881396 11.67537360 11.60320291
## [8929] 15.81561736 11.93749891 11.16275674 16.11984974 12.51465983 11.05536063
## [8935] 10.72719183 12.41738581 11.70691345 11.94185557 12.12420592 14.05219628
## [8941] 15.67668286 12.27586187 11.60657527 6.30388191 13.35738317 11.91367300
## [8947] 11.46169185 15.83521029 15.01609944 15.19156090 16.14203891 15.08953234
## [8953] 12.68285242 9.36697482 11.43929367 11.43343486 3.20922945 12.06974518
## [8959] 12.41405752 13.56947287 9.01273420 13.34434111 9.90707411 12.71784104
## [8965] 10.31705839 9.37496882 11.73476825 15.33339354 13.28474393 12.32971581
## [8971] 12.55318320 15.71779428 12.45744954 16.19670358 11.72655381 12.53547610
## [8977] 16.03319057 13.78608693 11.88120799 15.17884724 13.46968100 12.15526976
## [8983] 12.44837430 11.18334763 13.38497646 11.37366351 6.98358605 12.35504836
## [8989] 13.84429208 9.54924109 11.43225149 7.74274051 9.84925257 11.94385044
## [8995] 8.56131725 9.75687613 10.11288709 8.60874906 12.06054316 11.22370648
## [9001] 11.45729647 13.06752834 12.38022182 9.97096628 12.98284578 14.27722195
## [9007] 13.59068660 15.77182632 11.69377018 10.71657322 16.59643834 13.46186825
## [9013] 13.00319245 15.46089668 11.64538209 12.96095282 15.43848523 15.52563549
## [9019] 14.91802370 8.30664252 12.24812027 13.17170419 14.53591529 15.35476274
## [9025] 5.89120213 14.20421379 8.83605411 11.77203660 10.26940659 8.90235763
## [9031] 14.46256129 12.07631219 13.82393246 7.35454785 12.09907941 11.70949873
## [9037] 12.26907909 9.27069390 12.90553710 15.10203791 12.65709597 10.85738635
## [9043] 13.13469080 12.85866491 12.10671000 13.87939474 13.61235932 11.90750622
## [9049] 12.17613799 11.14165973 8.92866688 15.95109060 13.19925671 13.06493615
## [9055] 14.63498477 15.72297994 14.86508235 13.26962109 12.19040769 14.84736003
## [9061] 11.57008432 13.06029555 14.17687215 15.81379943 15.69835270 14.90326197
## [9067] 15.64749608 15.79018501 13.19440197 13.10261697 13.23185245 15.11340271
## [9073] 15.55713887 11.78075791 12.34477194 11.20870729 11.66817152 14.45472586
## [9079] 12.06803454 15.24570301 13.53053136 13.25722229 14.43978447 12.68493254
## [9085] 13.75455194 15.55712101 15.49690029 15.63026725 14.63641377 13.66186536
## [9091] 15.25190425 15.92495606 15.28878428 12.90234354 14.34863902 13.04990433
## [9097] 10.08643725 15.58554931 15.72099494 12.26640537 15.62589136 16.33427499
## [9103] 12.50631471 14.62692038 15.68675813 15.67280435 15.25865106 12.25990782
## [9109] 13.22021917 13.13265361 8.06786710 13.26304029 14.18420800 16.61922263
## [9115] 11.38776749 15.91572441 16.02642907 15.43835003 14.17773082 10.88481762
## [9121] 11.25025660 10.00955287 11.63307308 15.74629161 13.54353739 12.37213388
## [9127] 15.08824402 13.37304180 13.43728629 10.12422902 15.10183896 14.77725468
## [9133] 11.18859269 11.62599796 9.89692305 12.86697764 11.23463594 15.16493879
## [9139] 10.08958655 12.31738993 9.36196214 11.17534968 9.05059407 11.39706457
## [9145] 13.34949844 12.93685014 15.13490049 12.74095381 9.48877255 6.69383159
## [9151] 13.00666800 9.69558477 12.61727589 14.14601948 15.41683598 11.98029206
## [9157] 13.26723849 15.22253389 11.98245242 12.39486568 11.26234918 13.21899162
## [9163] 11.33996527 9.80564758 14.01770452 13.95628814 10.42624283 13.70156775
## [9169] 8.43820193 16.18299251 10.87061816 15.30877755 14.45913123 13.58629482
## [9175] 12.05731901 12.91923696 11.10040054 15.29968385 11.76078005 15.35550096
## [9181] 12.35390157 13.12056648 8.71065579 11.02430595 10.61127282 14.41592093
## [9187] 13.32842233 15.75609678 12.29696759 14.16875683 14.14495179 13.56999755
## [9193] 14.38977753 13.25738792 16.39300842 9.39589586 11.20888472 14.99182969
## [9199] 14.79098479 15.35761151 13.81102070 12.37551031 14.48618088 12.94472969
## [9205] 14.56413279 16.41714154 11.33375287 15.10458607 14.23124755 13.17858712
## [9211] 13.59008008 14.97477565 5.69322696 11.36495896 14.98329417 13.42006354
## [9217] 15.08576609 11.85703978 10.58542944 13.32386616 13.66054311 12.78376975
## [9223] 15.18683701 14.68543369 10.64988067 13.81187321 15.03897280 11.05929097
## [9229] 13.64239655 12.43379514 13.57589514 14.04479487 15.37996618 12.40375906
## [9235] 12.66073485 6.19099141 14.78498807 12.00140891 2.82731362 8.33974693
## [9241] 13.73561135 16.47145710 9.57143205 14.96839937 13.82187845 16.08561766
## [9247] 3.00518743 14.92557333 11.60682347 14.01012576 8.85301951 13.29273620
## [9253] 9.05868574 8.05890625 9.30762950 9.48769025 12.15540679 15.98374733
## [9259] 9.30762950 12.48391023 14.82723738 14.08675579 12.58472125 15.01842427
## [9265] 13.08801110 12.16585844 15.25453956 12.04923899 11.51318433 12.82841802
## [9271] 8.55062603 3.17387846 4.90134113 10.80139515 8.77913275 10.06068060
## [9277] 10.24972411 10.22783841 8.14861916 9.49268372 10.19372922 6.21011803
## [9283] 10.23301573 11.31416460 7.62642400 10.53823308 6.02414953 5.86121348
## [9289] 3.53134807 10.52269913 9.66784813 10.33020620 8.06432196 12.21033121
## [9295] 9.52322298 13.11278081 13.93261664 12.12005245 13.34227144 13.15331346
## [9301] 10.96468454 14.54084090 12.78000416 14.59786130 13.40804102 1.66770682
## [9307] 10.35185441 11.66428984 10.05616529 10.85768371 13.46664450 7.84036808
## [9313] 4.14662071 9.01745077 8.98839485 11.44912960 4.12341781 11.87686472
## [9319] 4.63005790 11.16909341 10.59645522 5.48500438 7.61847712 12.23765513
## [9325] 13.95925093 9.53339731 11.71652046 9.72037268 5.98881103 3.71088553
## [9331] 6.09820910 9.40681957 12.98183101 9.78255362 11.53371799 5.30707887
## [9337] 6.32175701 6.95315876 2.68784749 7.09830952 4.58466131 9.21653316
## [9343] 7.05577865 13.31311771 10.99846575 10.09391822 6.93874994 6.67796468
## [9349] 6.92214130 8.35039689 6.28625877 14.80917305 4.98798060 6.75522162
## [9355] 3.55990907 13.41917078 13.29125180 7.53754191 5.89252780 9.45787210
## [9361] 6.70193580 5.00058496 11.79341765 9.73542387 11.56766229 11.31609796
## [9367] 7.05577865 2.18717424 4.27249075 4.71474182 7.74583363 4.92129393
## [9373] 2.72457950 11.85768803 11.54377984 4.58466131 7.84036808 12.94801180
## [9379] 15.66906776 12.69116579 5.83738053 8.01029651 6.50681492 2.10169215
## [9385] 6.25697769 6.21790267 5.48500438 6.74266835 15.98313378 7.33435546
## [9391] 15.15231821 5.86686458 4.97721638 9.37103389 8.38035806 6.51542355
## [9397] 2.04381436 6.04206260 6.87772897 6.51284428 13.79257252 8.65837152
## [9403] 9.75278733 5.54895935 5.65280492 6.14979221 9.92332302 10.37695300
## [9409] 15.87478094 18.13164516 16.40996651 17.65327642 16.50623074 16.69656410
## [9415] 16.31850723 11.02182550 11.04948330 15.51462225 16.76348242 NA
## [9421] 15.73111968 15.47631100 17.36865118 14.38337903 15.51273279 15.00508206
## [9427] 13.22094254 16.82902332 15.52860310 13.32240353 15.98776520 14.63204626
## [9433] 14.16995106 16.71199157 17.94989444 17.79625143 15.87741030 16.27496071
## [9439] 15.95616535 15.54439806 11.64397978 17.34603263 14.63310148 14.80148638
## [9445] 11.79904629 12.76324422 15.22636931 16.77410017 14.12962521 11.60891823
## [9451] 11.97028050 14.03301428 15.88633589 14.33733346 15.37020507 15.64377782
## [9457] 15.71421847 14.69087105 17.13633047 15.96648198 16.37060308 15.24978596
## [9463] 15.86006398 17.73441533 14.31449985 16.14486088 15.25894588 15.16854591
## [9469] 14.24304310 16.39872881 13.74116734 15.57546662 13.39102921 14.06391564
## [9475] 15.49605975 15.01728980 14.00356097 14.41640119 13.60501498 14.13811162
## [9481] 16.46461274 12.81363231 16.80529183 5.39757429 13.19894042 16.60308626
## [9487] 13.59526978 14.84737901 12.88886922 14.00158015 13.61252592 12.24005964
## [9493] 6.46805581 13.19086802 16.17417404 7.02064637 15.70038297 15.88461289
## [9499] 16.46576302 14.41037405 15.65233876 9.64407672 15.58855395 15.48250571
## [9505] 16.98151203 13.11322763 10.78365834 13.98246033 10.82601996 12.62824737
## [9511] 14.37492840 15.45375672 14.10205630 16.68625249 10.24243814 14.02579634
## [9517] 13.24229566 15.67027493 10.10459938 11.38700379 12.14270901 12.42212918
## [9523] 12.15484561 12.51865155 15.00023266 15.44339576 12.39393855 15.51202760
## [9529] 15.97769694 15.01846885 10.36654430 13.26246288 12.38779815 11.69568701
## [9535] 14.46382532 11.75128884 11.45191097 13.15494789 14.77200179 13.38423293
## [9541] 13.49942001 14.31703112 14.36436047 13.57399874 15.46615452 15.76454692
## [9547] 10.13390379 12.43409543 12.06997648 15.50905535 14.86073256 13.37367310
## [9553] 15.47208334 13.67840616 13.16926088 12.19600822 12.50490146 13.74011540
## [9559] 15.43839789 10.28679123 15.28555902 15.28094054 15.10857543 12.37301103
## [9565] 14.88811252 14.95288660 14.02166419 11.56970591 13.98354113 6.21514795
## [9571] 8.20626433 11.80323618 13.91740556 10.60989813 11.05744293 5.22321659
## [9577] 14.21747961 12.36522238 10.27765943 13.36395659 11.03039020 12.08755191
## [9583] 11.74105831 13.40011453 11.80440235 15.38387035 10.83614088 13.08095563
## [9589] 13.61841038 14.44750816 13.95945055 13.61285649 13.98852807 14.81062783
## [9595] 15.59450498 14.47180724 14.91125721 9.96583962 15.84457248 13.78445816
## [9601] 12.87303020 15.56453551 13.90900286 15.23442740 16.23201843 15.21987907
## [9607] 14.21407887 16.38979717 10.92577570 15.06067617 15.00069796 11.48534674
## [9613] 14.83528884 11.22570955 14.09676547 14.88324593 14.97451240 15.20119581
## [9619] NA 15.04726290 11.95289473 14.39908487 14.33746691 14.18496140
## [9625] 14.11631065 14.12151432 10.52259064 11.24474807 14.08607810 14.47029086
## [9631] 10.51653659 11.32208537 11.34850402 15.35536266 13.27115967 15.70534627
## [9637] 14.98784576 15.78316173 16.13816739 12.63558557 13.22232047 8.31487870
## [9643] 14.71007891 15.18975205 13.15443607 15.07170926 14.76546118 14.66276725
## [9649] 14.32178520 13.60425794 13.52789922 13.91667262 14.20911175 11.15830983
## [9655] 13.66789057 13.03076738 13.02683400 15.06369917 12.44749441 14.06144094
## [9661] 12.26761449 14.26919949 14.61044234 12.01787753 14.95348074 13.26863940
## [9667] 14.13464643 15.13321636 14.05409320 14.95442263 14.49304579 13.50071989
## [9673] 12.54966366 12.38370008 10.16451323 14.50458124 10.66511477 11.26690369
## [9679] 6.74166527 13.73692166 8.81704738 14.21531331 13.93480885 11.92244182
## [9685] 10.90942738 13.47268377 10.12949739 13.52495563 15.60319674 13.48133578
## [9691] 13.47188539 11.23001479 12.77479193 14.49193990 11.53946895 10.89599034
## [9697] 14.03030309 9.89091991 11.27267517 8.55805487 13.07095930 13.44616162
## [9703] 10.97887983 14.99611589 12.48251356 14.60144370 14.29966551 14.11131238
## [9709] 11.73695854 13.69768642 12.62935616 NA 13.89020381 12.88816080
## [9715] 16.22236780 12.18428322 NA 14.44987102 15.74867151 12.11585145
## [9721] 15.67760410 15.31288149 15.15680003 15.16351266 15.34413818 10.96262468
## [9727] 15.15728924 11.46613549 14.99149616 15.21924725 13.53008418 12.55412288
## [9733] 11.04623634 12.89145319 15.68890841 14.77842491 15.63411496 12.12143144
## [9739] 12.60466616 13.64296969 13.59967989 15.50207984 14.22013935 13.17759131
## [9745] 11.69778920 14.45515282 15.52417446 9.50932953 14.34808949 14.74178127
## [9751] 11.59237433 11.69360526 11.09910797 9.86366142 14.07149668 10.25792635
## [9757] 14.89128608 13.79653035 10.60714134 14.07139641 11.75643376 11.52503030
## [9763] 12.21033355 16.19550028 12.22144695 15.71383036 15.33616967 14.15222371
## [9769] 12.84165218 11.55834147 8.90125215 15.36810612 14.65439975 12.11121236
## [9775] 12.96795115 15.03753373 13.04708884 14.62338210 13.57396858 13.92307746
## [9781] 13.31164175 12.64307085 12.61796343 11.65326211 14.29717896 14.71339423
## [9787] 16.22977219 13.71536295 17.01065600 6.37203911 6.56233109 14.89097892
## [9793] 12.79406282 11.77152172 14.27856110 13.53512880 16.35780278 14.33926375
## [9799] 15.82510517 14.60674583 11.54511517 13.40217648 15.89250131 15.60185426
## [9805] 13.49211332 13.59125511 13.29650589 12.26143739 14.82755542 14.91432308
## [9811] 9.48376859 14.81140847 10.52573683 13.84530753 12.85512268 11.74250363
## [9817] 16.73592150 12.12178818 13.04163522 16.36497321 14.88107095 8.64932961
## [9823] 14.80633152 16.79279603 13.52823486 12.14214205 13.55932152 13.40783228
## [9829] 11.53440375 14.03600338 11.53438936 16.43804234 15.59483846 13.28087182
## [9835] 14.29115018 16.68619738 11.28318973 14.85057216 15.19343246 13.12167700
## [9841] 12.70727999 13.31115464 13.91945807 9.83623923 16.40574331 14.14649037
## [9847] 13.27152910 10.82011203 13.55702422 14.16237528 13.75579649 15.52677745
## [9853] 14.93854284 9.63272880 11.99147720 15.79473772 15.51326758 14.25876679
## [9859] 14.22277834 7.29207846 10.84177204 11.31183898 14.54595123 9.09639646
## [9865] 13.09486385 10.78842321 11.74492964 9.30762950 13.68521349 11.21400002
## [9871] 11.64455960 13.24868671 15.62891311 11.58292324 11.55039542 11.53368264
## [9877] 14.73578140 11.22256848 15.72819052 15.89623348 13.17061923 14.28740044
## [9883] 12.49595296 13.51797961 14.68698606 7.47163624 12.06378094 16.97195468
## [9889] 13.52628352 8.62123243 15.96997282 15.68178062 13.69372956 11.57792732
## [9895] 11.43592865 14.51229112 14.91053859 10.96300933 11.78240436 14.66927061
## [9901] 11.51760928 14.03198984 11.69184616 9.35798335 10.21773755 15.32659153
## [9907] 13.56624747 10.64215742 10.51020419 13.15759163 10.11848481 13.11023996
## [9913] 12.25687901 13.63814570 13.97483558 10.71320859 12.11712410 12.98857360
## [9919] 8.87037364 10.58517583 13.15110929 12.15290069 12.54646131 16.25585286
## [9925] 15.05242707 11.73891321 13.05042337 15.63403371 14.13803179 12.41792181
## [9931] 13.24279547 13.46340914 12.74743313 12.87600685 15.60422306 14.11746751
## [9937] 14.54692629 13.96362806 14.23128493 14.54577237 13.81563403 13.38337316
## [9943] 15.31341690 15.49940914 11.82178995 14.01932041 11.28346249 11.46566770
## [9949] 11.53977400 13.46642005 13.30047912 12.44460356 15.10888125 12.10799400
## [9955] 16.22271348 10.49746612 14.24730094 14.74285398 11.61075374 10.79370717
## [9961] 11.71496411 9.57146201 11.60852642 12.46796434 12.98897191 10.39488476
## [9967] 10.20360807 11.54405449 10.63783953 12.61955500 12.09646261 7.90248004
## [9973] 12.94838187 10.31628769 10.79137613 12.02742051 15.01546866 14.95280370
## [9979] 13.39570042 14.41662395 13.63121174 15.43913761 11.02971582 9.88647414
## [9985] 14.48930164 14.90689002 14.30836768 11.66463969 14.11420492 13.81785033
## [9991] 14.25942355 13.30050983 14.74572335 11.56821352 11.58614126 15.52074083
## [9997] 15.42521663 14.14778332 13.42971802 15.33578711 14.67669662 14.37402102
## [10003] 14.46771477 14.14871234 13.74379701 13.68681124 13.90222085 13.14738649
## [10009] 11.93966088 9.67245610 10.70630853 15.09340349 15.39782957 16.60120504
## [10015] 16.80183726 10.72977370 16.67102821 13.67852457 14.88366072 16.61495974
## [10021] 14.37540055 4.87321062 16.87711416 13.99327478 11.37954446 10.79716962
## [10027] 15.39198932 16.03025049 14.96220826 13.28945413 17.41664787 16.23428617
## [10033] 17.53618208 17.47068242 17.84954535 18.39814253 17.99473497 17.68697226
## [10039] 17.62993961 14.36758173 18.25375873 17.93179447 18.12821937 17.18743139
## [10045] 17.37891082 16.98807232 16.88849214 18.24617210 17.75547650 17.28272361
## [10051] 18.51582359 18.02000509 17.81928634 18.27733740 15.60833020 16.79075233
## [10057] 12.75966622 14.21044081 17.48383127 18.51622124 NA 16.30382743
## [10063] 2.09433015 3.64362055 14.75410950 16.78932490 13.51025793 17.73372690
## [10069] 15.25642570 16.27898346 16.43109933 18.14429372 14.28488672 10.28464460
## [10075] 17.16404270 17.19793211 14.38193791 10.25867464 8.05023133 18.46791900
## [10081] 17.91155320 18.51416946 18.58169281 16.49622817 17.96823511 16.87517173
## [10087] 18.60269693 18.54245263 18.58100158 15.90622077 17.88975795 17.64494329
## [10093] 16.51076011 17.30851962 18.73040141 17.19824040 18.39402909 18.14225872
## [10099] 18.42259395 18.33694455 17.84596258 15.75851179 18.24817661 15.19062921
## [10105] 17.20305955 16.87389954 17.74346600 17.39882209 13.05918065 15.98241100
## [10111] 13.98740796 16.89494207 13.93508866 18.49157535 18.23495033 16.30214467
## [10117] 17.49062738 16.75292973 11.21870017 11.69927208 11.89757945 17.71898575
## [10123] 16.91969125 17.67433029 16.04851162 17.22985856 17.08527073 17.35417473
## [10129] 16.58021639 NA 18.02444232 18.60509042 14.38460095 17.59896448
## [10135] 17.60108301 16.35511543 16.61282854 15.82394969 17.74058184 16.74871906
## [10141] 16.80393416 18.59967883 18.13250497 18.61971904 17.67564264 17.66879134
## [10147] 17.26352611 14.42887108 17.77055833 18.28485011 18.58923105 16.55600584
## [10153] 18.14543873 16.77104770 17.90561834 18.00986800 16.89447960 14.84738878
## [10159] 17.64349518 14.13937645 14.95158739 16.44718863 16.14254757 12.95494969
## [10165] 15.16834582 17.02108308 15.15475539 11.74087927 17.74571867 16.33848918
## [10171] 14.44893402 15.01729206 18.05109048 15.55231403 14.91062205 17.88584473
## [10177] 9.94848434 10.40282605 15.17777970 8.32163319 10.03257709 14.87197199
## [10183] 9.80891750 10.38378087 11.65340645 15.48272908 12.46095956 12.85192906
## [10189] 12.71726533 14.84476391 13.55347371 15.76280203 15.68151159 13.48158221
## [10195] 8.69388392 13.86041316 10.62912612 12.93084455 11.80476466 12.26109185
## [10201] 9.57105913 12.22373573 14.79036477 13.02941232 14.21754988 12.91836685
## [10207] 4.22464156 15.85666826 14.45357581 11.91156554 12.68817439 13.60658537
## [10213] 15.58322140 7.86109128 13.20748576 15.81392199 4.30217141 11.76715613
## [10219] 13.71237448 8.38298500 11.73835472 8.46527233 8.59951208 11.05760755
## [10225] 12.82119477 15.73149149 13.44314597 11.61844238 12.81041225 3.76352300
## [10231] 4.11545353 13.60778428 10.34923467 10.51286066 12.97762986 15.70652964
## [10237] 10.78144922 9.25206756 7.89079209 11.14487405 8.86974264 4.95737515
## [10243] 11.57112692 8.96782285 5.17857616 11.78600397 NA 13.19335143
## [10249] 8.92879940 14.82458290 10.24655336 11.59258250 15.86707547 15.90752676
## [10255] 10.23251608 15.72586467 12.54889301 8.91274802 15.57758245 11.08585519
## [10261] 14.23052049 9.90172550 12.46672240 11.47603033 14.63094811 15.48424554
## [10267] 13.68492522 12.25732501 8.05306030 12.53952998 12.16065029 15.15145972
## [10273] 14.95082085 14.75847930 13.56872877 9.42959236 14.35029037 12.57270288
## [10279] 13.36234034 11.25692589 10.47295805 11.05952515 12.64935794 9.71218600
## [10285] NA 11.98063258 10.20647687 8.78076903 11.31992525 9.31557298
## [10291] 9.16436449 13.61842994 12.85090551 9.60316256 12.39426639 11.79232049
## [10297] 9.05419637 12.57744494 3.85883318 13.28975742 6.19564951 12.93171354
## [10303] 13.70909769 NA 11.08843991 0.74668795 5.72626126 9.89859812
## [10309] 3.12104246 11.24929723 11.44659152 13.01257945 10.31484924 12.71856990
## [10315] 11.53479439 15.24067667 15.38285376 13.11272399 9.29861678 13.68495923
## [10321] 8.15696336 10.85289928 13.25705092 11.75201205 10.26642400 7.98874656
## [10327] 6.92593895 8.19327581 6.01630349 10.37395888 6.71684898 5.03096066
## [10333] 13.17701994 15.56727262 13.99384324 12.50485088 9.30762950 14.19899086
## [10339] 11.89957595 12.68037574 11.65736696 14.86287709 13.87416773 10.16090615
## [10345] 7.77055662 15.57014146 13.58409240 11.27433738 6.51546796 12.43409512
## [10351] 13.40478232 13.75122646 13.56255642 13.39720173 12.47238928 10.18320348
## [10357] 7.25367560 10.56107880 9.20397918 14.83924277 14.31014155 11.91269807
## [10363] 14.34352235 9.41882257 10.69624384 10.03254414 13.26035464 9.68346226
## [10369] 6.32172108 11.54695562 7.25678407 14.16150153 12.53127808 11.04179752
## [10375] 8.92530280 12.08725048 10.32815282 14.63893816 7.72127326 9.54920332
## [10381] 8.74810489 10.14439283 11.03374046 13.40575126 15.58703458 12.30787353
## [10387] 10.66114286 7.80754664 12.11120923 7.76345064 12.57859764 11.79197181
## [10393] 14.81710370 11.80477683 10.80212559 8.04865409 12.05200922 13.67133523
## [10399] 11.86453027 13.10703883 12.47706199 14.35663417 12.34294660 11.65158698
## [10405] 9.84860731 11.70656778 14.36508830 6.24134740 11.58996298 15.78244356
## [10411] 14.98595429 11.10772827 12.18265416 9.80542258 14.49975955 14.88715018
## [10417] 13.94036048 12.88561145 13.49926196 11.97352659 14.43883257 15.32511553
## [10423] 15.94079302 11.80479648 13.03579454 12.31960006 12.02930498 11.92150273
## [10429] 14.19794855 11.12800330 13.51930609 13.88857346 12.27374307 13.57396858
## [10435] 12.74620439 13.98323160 12.23436331 15.06935200 14.21023463 15.57952522
## [10441] 11.46370455 13.30124750 14.24993515 14.81391914 14.02630015 12.86710040
## [10447] 11.30440534 13.63931230 13.38359240 15.05643162 12.05372516 9.90076184
## [10453] 11.44592268 8.74600704 9.19553329 9.25068641 9.51664202 12.12356625
## [10459] 6.43221636 9.33103649 9.25424720 6.12756763 8.74499627 7.96219970
## [10465] 11.61488341 15.01829728 14.25295144 13.54939473 13.76127589 12.85553209
## [10471] 15.02307550 9.50922719 11.57545265 9.83754698 11.43562187 11.75058822
## [10477] 12.60911305 15.98239838 12.43367385 11.59752770 12.21916319 11.72437296
## [10483] 10.09399634 12.17191382 11.08403721 10.94050277 14.76038709 7.01303379
## [10489] 12.71429513 12.16014168 11.31956181 11.50440840 11.99901090 10.83318126
## [10495] 14.82055831 12.45671284 12.63585384 14.00963018 7.48173033 14.15098182
## [10501] 12.52719786 11.74616785 12.77061300 15.05898391 14.07051184 12.97178202
## [10507] 11.43654311 11.93623514 13.69501239 8.97238644 12.77758132 9.98264525
## [10513] 6.92959505 9.60081637 9.23743887 11.87411185 10.84626831 7.34108196
## [10519] 10.41522556 14.34880259 6.53116913 8.74892535 8.98733556 13.21474219
## [10525] 12.51840649 10.76159987 14.21482541 13.42282928 6.61294117 10.32596152
## [10531] 10.81149205 13.93667976 10.58842412 8.87986074 14.20292326 9.35748974
## [10537] 13.36836432 13.20962352 12.71238958 NA 6.12996482 6.39025745
## [10543] 7.15192424 NA 7.21773686 12.58060758 11.47963452 12.86691601
## [10549] 12.71736015 9.20875111 11.79486963 14.96851796 9.56777283 15.15610052
## [10555] 10.40247761 11.50279917 10.67634639 13.87993132 10.54252458 8.31940301
## [10561] 10.11070333 13.68255058 10.34877255 9.07045167 11.20880312 14.23727944
## [10567] 12.06100803 7.83366361 5.87394710 13.66530440 9.54227232 10.31701474
## [10573] 8.20908254 3.63495111 4.07107594 3.71625140 4.39962094 11.17213667
## [10579] 11.05522583 4.04742764 14.96062935 14.31925390 14.01313855 15.38737020
## [10585] 14.12561906 16.04200985 13.60538244 14.46576388 15.15737594 14.52729413
## [10591] 15.57052165 12.48182352 15.18091205 16.04107857 15.82312805 14.02946931
## [10597] 11.32944520 10.12283952 10.48343076 10.79681094 5.51628756 3.26384919
## [10603] 1.06471074 4.84976207 3.15401725 12.80833741 11.29976009 11.90639086
## [10609] 9.44078362 10.35595424 12.70705164 11.20250714 13.75431456 6.94775454
## [10615] 15.55823592 16.97659094 13.90950239 10.69178013 11.94468145 15.80373507
## [10621] 15.78456817 17.50123660 13.27062561 17.13401196 15.42839821 8.60072703
## [10627] 15.46674242 16.47598891 17.10175709 12.93704394 16.03318342 14.97867344
## [10633] 15.00440848 14.64406069 17.28044530 14.46009448 16.08556175 14.17246108
## [10639] 16.24019222 14.75859761 14.67862985 14.68435765 12.31944320 15.15294840
## [10645] 15.56877267 14.09049022 14.16270801 17.01118893 12.69272301 15.81248204
## [10651] 13.80686952 16.13157141 10.38566120 11.70510057 16.48101339 14.72013239
## [10657] 14.45666091 15.21962561 11.42679257 10.82318886 10.75102203 11.13408831
## [10663] 9.27015243 15.34425751 13.28085004 12.50759279 15.36134805 10.69526009
## [10669] 12.23320491 14.00531924 NA 13.39475191 8.84154224 12.33024191
## [10675] 10.27554202 16.24614382 16.29401357 12.72074728 14.59800576 10.21030144
## [10681] 11.60244400 14.13005179 14.53563324 13.01281593 14.62911516 14.78952450
## [10687] 14.75425510 15.51586127 15.42995562 11.60633866 12.40853137 15.41266173
## [10693] 13.80547286 9.81794546 16.38545800 9.20310425 9.52472474 11.27389247
## [10699] 8.40934068 13.40119665 10.90441829 12.05256266 15.09164525 11.98501729
## [10705] 10.11565468 9.13210095 9.84350610 11.28103754 12.94390914 11.41570076
## [10711] 13.40147549 12.97137999 15.65805716 13.37407385 9.48152104 8.64033606
## [10717] 15.85616680 6.07672439 14.83054602 8.35893576 8.60832922 9.03732419
## [10723] 9.90871337 8.21186025 9.75444970 15.23725620 11.12810043 5.53315231
## [10729] 8.37918781 7.51214775 9.19566217 4.92129393 12.50383127 8.55698874
## [10735] 11.45230566 10.40917319 11.98867773 11.93297641 12.33250726 7.48893684
## [10741] 8.11126498 9.27842230 13.62243277 8.39903784 15.46622595 11.48015720
## [10747] 7.04316865 9.81151480 13.26006084 7.98383903 13.29869025 8.95623491
## [10753] 6.21136284 6.90605383 9.72590634 14.89658630 8.66997093 7.83370719
## [10759] 10.56729552 14.19339542 5.60469852 6.32172108 9.13479860 8.29764068
## [10765] 5.99346255 11.69167415 2.68784749 9.06032994 11.59079258 5.96350222
## [10771] 13.41622485 3.64753649 6.45329424 7.65968067 14.21212013 15.25168090
## [10777] 9.89475957 11.34056557 12.08973190 7.52241105 5.91612120 11.57477503
## [10783] 7.76188120 8.71929613 6.86614130 7.41343971 5.33387754 10.10036146
## [10789] 12.22370066 5.16100742 6.87774958 13.69588933 13.28929390 11.90762146
## [10795] 15.98781207 14.49967000 16.41713804 4.74658294 10.24972269 8.19489207
## [10801] 15.02455483 8.45064091 15.80684620 7.87784077 5.46860851 7.34755096
## [10807] 9.30762950 13.85637182 15.87254087 15.93292735 13.38746485 11.96342245
## [10813] 16.35549731 6.08036788 15.02266764 15.35222942 12.78932404 16.07665556
## [10819] 8.20337246 13.54915477 11.66160725 12.18828559 13.47521027 15.50718624
## [10825] 16.80359002 15.39861747 14.00370368 14.62785310 13.36784145 13.32274593
## [10831] 16.31898892 15.70689868 16.10419790 16.86629560 12.10756454 7.39282608
## [10837] 11.22785013 15.06227056 8.44716335 17.96087336 7.17191793 10.46705239
## [10843] 14.80606196 11.23595436 10.75921054 15.26752695 10.91994248 7.96389491
## [10849] 14.97157815 11.94737827 11.01255021 13.93372880 9.30674631 9.05500966
## [10855] 10.53714053 3.56019345 5.47813579 12.89039697 12.84696117 12.13000434
## [10861] 15.25803176 15.69307298 13.40076794 12.95939854 15.96672832 13.89156072
## [10867] 11.70024924 14.29267387 10.99430857 12.72017378 13.63293146 11.36833844
## [10873] 15.59465398 13.40213186 11.78924240 14.03265979 8.72375685 14.20047671
## [10879] 14.42626818 10.81614871 15.71156031 6.00082064 16.22705971 14.76716127
## [10885] 15.39569703 10.64259280 15.95951151 15.50871039 14.21671621 12.56260122
## [10891] 11.83448136 11.84329311 12.23707109 14.00523570 10.86909745 13.54808125
## [10897] 13.32560408 11.68343267 9.78267775 14.11435248 13.90981720 15.54632039
## [10903] 13.08306158 11.63669128 15.55144017 13.66568433 12.90851016 13.35776771
## [10909] 15.19457555 15.85318153 10.26471303 13.88280366 15.15324185 16.51828698
## [10915] 15.74222658 15.73602967 16.70458145 0.63657683 14.75120122 18.36578510
## [10921] 12.16248062 10.11925033 12.34595345 12.77069920 13.05110120 6.78457018
## [10927] NA 9.53330537 8.57610906 13.05614295 8.88657644 7.63247864
## [10933] 9.30092760 16.67642913 9.94509580 14.95155514 15.16332624 13.33340283
## [10939] 15.27682199 16.72179153 4.51316454 12.37229336 11.18210998 17.01584360
## [10945] 9.38809987 12.22103293 13.98741977 11.40239382 12.05565217 11.35236286
## [10951] 14.70396154 15.29238487 13.17926890 14.33830265 12.69561447 14.11420019
## [10957] 16.72077640 1.07500242 9.23392212 13.42630265 18.68455631 14.14544140
## [10963] 17.10461285 15.27114310 18.62329413 12.34467548 11.46951220 6.96592984
## [10969] 13.36350100 16.20720765 13.09376436 12.73129638 12.26170241 13.91871676
## [10975] 14.04110365 14.76721348 12.91628019 13.80466832 14.31019821 13.06071656
## [10981] 11.81787571 9.83136138 12.96477346 13.11115961 9.99253635 11.91235506
## [10987] 15.14012746 11.59886937 9.63263179 13.67111454 12.74496262 9.43492848
## [10993] 12.39757518 11.72816248 9.69769571 15.73229504 11.28270115 15.81649296
## [10999] 11.82830422 13.10899177 13.00340710 15.72587807 10.94916502 12.83489080
## [11005] 13.52235302 15.71256549 14.12807864 15.80132776 15.88337962d__new <- cbind(d, logRS = logRS)
histogram(d__new$logRS)
plot(histogram(d__new$logRS))
#m1reg <- lm(log(Range.Size) ~ as.factor (Migration),data=d)
#m1reg <- lm(log(Range.Size) ~ (Migration),data=d)
#histogram(m1reg)
#Violin Plot Migration and logRS
ggplot (d, aes(x=(Migration),y=logRS))+
geom_violin()+geom_jitter(alpha=0.05)## Warning: Removed 57 rows containing non-finite outside the scale range
## (`stat_ydensity()`).## Warning: Removed 57 rows containing missing values or values outside the scale range
## (`geom_point()`).
#Plot for Migration and Range.Size
ggplot (d, aes(x=as.factor(Migration),y=Range.Size))+
geom_violin()+geom_jitter()## Warning: Removed 57 rows containing non-finite outside the scale range
## (`stat_ydensity()`).
## Removed 57 rows containing missing values or values outside the scale range
## (`geom_point()`).
ggplot(d|>filter(!is.na(Migration)), aes(x=as.factor(Migration), y=log(Range.Size)))+
geom_boxplot() +geom_jitter(aes(alpha=0.05, width = 0.05))## Warning in geom_jitter(aes(alpha = 0.05, width = 0.05)): Ignoring unknown
## aesthetics: width## Warning: Removed 49 rows containing non-finite outside the scale range
## (`stat_boxplot()`).## Warning: Removed 49 rows containing missing values or values outside the scale range
## (`geom_point()`).
m3<- lm(logRS ~ Migration, data = d__new)
summary(m3)##
## Call:
## lm(formula = logRS ~ Migration, data = d__new)
##
## Residuals:
## Min 1Q Median 3Q Max
## -14.5710 -1.4521 0.4357 1.9763 5.9271
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 14.55082 0.08896 163.568 < 2e-16 ***
## Migration1 -2.51702 0.09380 -26.834 < 2e-16 ***
## Migration2 -0.73233 0.12015 -6.095 1.13e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.785 on 10934 degrees of freedom
## (72 observations deleted due to missingness)
## Multiple R-squared: 0.0869, Adjusted R-squared: 0.08674
## F-statistic: 520.3 on 2 and 10934 DF, p-value: < 2.2e-16summary(m3)|> tidy()## # A tibble: 3 × 5
## term estimate std.error statistic p.value
## <chr> <dbl> <dbl> <dbl> <dbl>
## 1 (Intercept) 14.6 0.0890 164. 0
## 2 Migration1 -2.52 0.0938 -26.8 1.14e-153
## 3 Migration2 -0.732 0.120 -6.10 1.13e- 9#Here we relevel and assess
migration <- migration |>
mutate(Migration = relevel(Migration, ref = "1"))
m3 <- lm(logRS ~ Migration, data = d__new)
summary(m3)##
## Call:
## lm(formula = logRS ~ Migration, data = d__new)
##
## Residuals:
## Min 1Q Median 3Q Max
## -14.5710 -1.4521 0.4357 1.9763 5.9271
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 14.55082 0.08896 163.568 < 2e-16 ***
## Migration1 -2.51702 0.09380 -26.834 < 2e-16 ***
## Migration2 -0.73233 0.12015 -6.095 1.13e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.785 on 10934 degrees of freedom
## (72 observations deleted due to missingness)
## Multiple R-squared: 0.0869, Adjusted R-squared: 0.08674
## F-statistic: 520.3 on 2 and 10934 DF, p-value: < 2.2e-16(posthoc <- TukeyHSD(m3, which = "Migration", conf.level = 0.95))## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = x)
##
## $Migration
## diff lwr upr p adj
## 1-3 -2.5170168 -2.736883 -2.297150 0
## 2-3 -0.7323266 -1.013964 -0.450689 0
## 2-1 1.7846901 1.582952 1.986428 0plot(posthoc)
#m1<-aov(log(Range.Size)~as.factor(Migration), data=d)
#summary(m1)
#migration
#Sedentary = 1
#partially migratory=2
#migratopry=3Step 4 Winnow your original data to just consider birds from the Infraorder “Passeriformes” (song birds).
Run separate one-factor ANOVA analyses to look at the association between [1] relative beak length and Primary.Lifestyle and between [2] relative beak length and Trophic.Level. In doing so…
Make boxplots of response variable by each predictor and by the combination of predictors.
Run linear models for each predictor separately and interpret the model output.
passer <- d |>
filter(Order1 == "Passeriformes")
plot_1 <- ggplot(data = passer, aes(x = Primary.Lifestyle, y = relBL)) + geom_boxplot() +
theme(axis.text.x = element_text(angle = 45, hjust = 1))
plot(plot_1)
plot_2 <- ggplot(data = passer, aes(x = Trophic.Level, y = relBL)) + geom_boxplot() +
theme(axis.text.x = element_text(angle = 45, hjust = 1))
plot(plot_2)
plot_3 <- ggplot(data = passer, aes(x = Primary.Lifestyle, y = relBL)) + geom_boxplot() +
facet_wrap(~Trophic.Level) + theme(axis.text.x = element_text(angle = 45, hjust = 1))
plot(plot_3)
plot_4 <- ggplot(data = passer, aes(x = Trophic.Level, y = relBL)) + geom_boxplot() +
facet_wrap(~Primary.Lifestyle) + theme(axis.text.x = element_text(angle = 45,
hjust = 1))
plot(plot_4)
plot_grid(plot_grid(plot_1, plot_2, nrow = 1), plot_3, plot_4, nrow = 3)
Run linear models for each predictor separately and interpret the model
output.
m5 <- lm(relBL ~ Primary.Lifestyle, data = passer)
m6 <- lm(relBL ~ Trophic.Level, data = passer)
summary(m5)##
## Call:
## lm(formula = relBL ~ Primary.Lifestyle, data = passer)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6314 -0.1380 -0.0172 0.1118 1.2241
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.34950 0.02158 -16.19 <2e-16 ***
## Primary.LifestyleGeneralist 0.27926 0.02306 12.11 <2e-16 ***
## Primary.LifestyleInsessorial 0.35342 0.02181 16.20 <2e-16 ***
## Primary.LifestyleTerrestrial 0.27924 0.02249 12.42 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2158 on 6610 degrees of freedom
## Multiple R-squared: 0.05581, Adjusted R-squared: 0.05538
## F-statistic: 130.2 on 3 and 6610 DF, p-value: < 2.2e-16summary(m6)##
## Call:
## lm(formula = relBL ~ Trophic.Level, data = passer)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.67045 -0.13692 -0.02063 0.11129 1.23116
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.003170 0.003501 -0.906 0.36518
## Trophic.LevelHerbivore -0.118713 0.006956 -17.066 < 2e-16 ***
## Trophic.LevelOmnivore 0.017902 0.006606 2.710 0.00675 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2165 on 6611 degrees of freedom
## Multiple R-squared: 0.05001, Adjusted R-squared: 0.04972
## F-statistic: 174 on 2 and 6611 DF, p-value: < 2.2e-16Step 5 Run a two-factor model to look at the association between relative beak length and both Primary.Lifestyle and Trophic.Level among the passeriforms. Based on the model output, what would you conclude about how relative beak length is related to these two variables?
m7 <- lm(relBL ~ Primary.Lifestyle + Trophic.Level, data = passer)
tidy(m7)## # A tibble: 6 × 5
## term estimate std.error statistic p.value
## <chr> <dbl> <dbl> <dbl> <dbl>
## 1 (Intercept) -0.350 0.0210 -16.7 3.42e-61
## 2 Primary.LifestyleGeneralist 0.302 0.0226 13.4 3.80e-40
## 3 Primary.LifestyleInsessorial 0.376 0.0213 17.6 4.17e-68
## 4 Primary.LifestyleTerrestrial 0.302 0.0219 13.8 1.51e-42
## 5 Trophic.LevelHerbivore -0.126 0.00676 -18.7 4.87e-76
## 6 Trophic.LevelOmnivore 0.0121 0.00645 1.88 5.99e- 2Step 6 Finally, run an additional two-way model with the same dataset and predictors, but adding the possibility of an interaction term. To do this, you should modify your model formula using the colon operator (:) to specify the interaction, e.g., relative beak length ~ Primary.Lifestyle + Trophic.Level + Primary.Lifestyle:Trophic.Level. Based on the model output, what would you now conclude about how relative beak length is related to these two variables?
m8 <- lm(relBL ~ Primary.Lifestyle + Trophic.Level + Primary.Lifestyle:Trophic.Level,
data = passer)
summary(m8)##
## Call:
## lm(formula = relBL ~ Primary.Lifestyle + Trophic.Level + Primary.Lifestyle:Trophic.Level,
## data = passer)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.64623 -0.12836 -0.02078 0.10070 1.21924
##
## Coefficients: (2 not defined because of singularities)
## Estimate Std. Error t value
## (Intercept) -0.34950 0.02066 -16.918
## Primary.LifestyleGeneralist 0.33010 0.02367 13.948
## Primary.LifestyleInsessorial 0.35826 0.02104 17.031
## Primary.LifestyleTerrestrial 0.35714 0.02210 16.162
## Trophic.LevelHerbivore -0.27502 0.01562 -17.608
## Trophic.LevelOmnivore -0.11080 0.01550 -7.150
## Primary.LifestyleGeneralist:Trophic.LevelHerbivore 0.05033 0.02584 1.948
## Primary.LifestyleInsessorial:Trophic.LevelHerbivore 0.20115 0.01750 11.494
## Primary.LifestyleTerrestrial:Trophic.LevelHerbivore NA NA NA
## Primary.LifestyleGeneralist:Trophic.LevelOmnivore 0.09898 0.02351 4.210
## Primary.LifestyleInsessorial:Trophic.LevelOmnivore 0.15527 0.01726 8.996
## Primary.LifestyleTerrestrial:Trophic.LevelOmnivore NA NA NA
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## Primary.LifestyleGeneralist < 2e-16 ***
## Primary.LifestyleInsessorial < 2e-16 ***
## Primary.LifestyleTerrestrial < 2e-16 ***
## Trophic.LevelHerbivore < 2e-16 ***
## Trophic.LevelOmnivore 9.61e-13 ***
## Primary.LifestyleGeneralist:Trophic.LevelHerbivore 0.0515 .
## Primary.LifestyleInsessorial:Trophic.LevelHerbivore < 2e-16 ***
## Primary.LifestyleTerrestrial:Trophic.LevelHerbivore NA
## Primary.LifestyleGeneralist:Trophic.LevelOmnivore 2.59e-05 ***
## Primary.LifestyleInsessorial:Trophic.LevelOmnivore < 2e-16 ***
## Primary.LifestyleTerrestrial:Trophic.LevelOmnivore NA
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2066 on 6604 degrees of freedom
## Multiple R-squared: 0.1358, Adjusted R-squared: 0.1346
## F-statistic: 115.3 on 9 and 6604 DF, p-value: < 2.2e-16Step 7 Use the interaction.plot() function to visualize the interaction between Primary.Lifestyle and Trophic.Level (see Module 20).
p <-d|> filter(Order1 == "Passeriformes")
ggplot(d|>filter(!is.na(Primary.Lifestyle)), aes(x=Primary.Lifestyle, y= relBL))+
geom_boxplot()
ggplot(d|>filter(!is.na(Trophic.Level)), aes(x=Trophic.Level, y= relBL))+
geom_boxplot()
m0 <- aov(relBL~1, data=p)
m1<- aov(relBL ~ Primary.Lifestyle, data = p)
m2<- aov(relBL ~ Trophic.Level, data = p)
m3<- aov(relBL ~ Trophic.Level +Primary.Lifestyle + Trophic.Level:Primary.Lifestyle, data = p)
summary(m)## Df Sum Sq Mean Sq F value Pr(>F)
## as.factor(Migration) 2 5.331e+16 2.666e+16 499.1 <2e-16 ***
## Residuals 10934 5.840e+17 5.341e+13
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 72 observations deleted due to missingness####
ggplot(data=p, aes(x=Primary.Lifestyle, y= relBL))+
geom_boxplot()+
geom_jitter(alpha =0.05)
ggplot(data=p, aes(x=Trophic.Level, y= relBL))+
geom_boxplot()+
geom_jitter(alpha =0.05)
#or we could facet wrap
ggplot(data=p, aes(x=Primary.Lifestyle, y= relBL))+
geom_boxplot()+
facet_wrap(vars(Trophic.Level))+
geom_jitter(alpha =0.05)
ggplot(data=p, aes(x=Trophic.Level, y= relBL))+
geom_boxplot()+
facet_wrap(vars(Primary.Lifestyle))+
geom_jitter(alpha =0.05)
interaction.plot(
x.factor=p$Trophic.Level,
xlab="Trophic Level",
trace.factor = p$Primary.Lifestyle,
trace.label="Primary.Lifestyle",
response=p$relBL,
ylab="Mean Relative Beak Length"
)
interaction.plot(
x.factor=p$Primary.Lifestyle,
xlab="PrimaryLifestyle",
trace.factor = p$Trophic.Level,
trace.label="Trophic Level",
response=p$relBL,
ylab="Mean Relative Beak Length"
)
m3 <-aov(relBL~Primary.Lifestyle+Trophic.Level, data=p)
m4<-aov(relBL~Primary.Lifestyle+Trophic.Level+ Primary.Lifestyle:Trophic.Level, data=p)
anova(m0,m1, test="F")## Analysis of Variance Table
##
## Model 1: relBL ~ 1
## Model 2: relBL ~ Primary.Lifestyle
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 6613 326.12
## 2 6610 307.92 3 18.2 130.23 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1anova(m0,m2, test="F")## Analysis of Variance Table
##
## Model 1: relBL ~ 1
## Model 2: relBL ~ Trophic.Level
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 6613 326.12
## 2 6611 309.81 2 16.309 174.01 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1anova(m1,m3, test="F")## Analysis of Variance Table
##
## Model 1: relBL ~ Primary.Lifestyle
## Model 2: relBL ~ Primary.Lifestyle + Trophic.Level
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 6610 307.92
## 2 6608 290.24 2 17.677 201.23 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1anova(m2,m3, test="F")## Analysis of Variance Table
##
## Model 1: relBL ~ Trophic.Level
## Model 2: relBL ~ Primary.Lifestyle + Trophic.Level
## Res.Df RSS Df Sum of Sq F Pr(>F)
## 1 6611 309.81
## 2 6608 290.24 3 19.568 148.5 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Additional Steps? In the exercise above, we really did not do any checking with this dataset to see if the data meet the primary assumptions for standard linear regression and ANOVA, which are that variables/residuals within each grouping level are roughly normally distributed and have roughly equal variances. Sample sizes within each grouping level should also be roughly equal. As noted in Module 20, a general rule of thumb for “equal” variances is to compare the largest and smallest within-grouping level standard deviations and, if this value is less than 2, then it is often reasonable to presume the assumption may not be violated.
Use this approach to see whether variances in across groups in your various models (e.g., for relative beak length ~ trophic level) are roughly equal.
Additionally, do a visual check of whether observations and model residuals within groups look to be normally distributed.
sd_ratio <- passer |>
group_by(Trophic.Level) |>
summarize(sd = sd(relBL, na.rm = TRUE)) |>
pull(sd)
(sd_ratio <- max(sd_ratio)/min(sd_ratio))## [1] 1.336194additionalp1 <- ggplot(data = passer, aes(x = relBL)) + geom_histogram(col= "purple") + facet_wrap(~Trophic.Level)
plot(additionalp1)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
m6data <- tibble(residuals = m6$residuals, Trophic.Level = m6$model$Trophic.Level)
summary(m6data)## residuals Trophic.Level
## Min. :-0.67045 Length:6614
## 1st Qu.:-0.13692 Class :character
## Median :-0.02063 Mode :character
## Mean : 0.00000
## 3rd Qu.: 0.11129
## Max. : 1.23116#additionalp2 <- ggplot(data = m6data, x = "residuals") + facet_wrap(~Trophic.Level)
#plot(additionalp2 )
#plot_grid(additionalp1, additionalp2 , nrow = 2)Below are incorporated class notes
fIn class #```{r}
d<- d |> mutate(logMass = log(Mass), logRS = log(Range.Size), logBeak = log(Beak.Length_Culmen), logTarsus= log(Tarsus.Length), Migration = as.factor(Migration))
m1 <-lm(data=d, logBeak ~logRS * Migration)
m2<-lm(data=d, logBeak ~logRS + Migration)
m3 <-lm(data=d, logBeak ~logRS)
m4 <- lm(data=d, logBeak ~Migration) m5 <- lm(data=d, logBeak ~1)
#anova(m2, m1, test = “F”)
#models didnt converge because one of them have data for
#we are comparting rs and migration vs rs anova(m3, m2, test = “F”)
#adding migration does the power.
With same AVONET dataset we will Explore forward and backward selection
#```{r}
d_new <- d %>%
drop_na(logBeak, logRS, Migration, Trophic.Level, logTarsus, Primary.Lifestyle)
lm(data=d_new, logBeak ~ logRS + Migration +Trophic.Level + relTarsus + Primary.Lifestyle)
m_null <- lm(data=d_new, logBeak ~1)
add1(m_null, scope = .~. +logRS + Migration + logTarsus +Trophic.Level + Primary.Lifestyle, test = "F")
#Add primary lifestyle as the new model, it's the largest one
m1 <- update(m_null, formula = .~. + logTarsus)
summary(m1)
#low p value
add1(m1, scope = .~. +logRS + Migration +Trophic.Level + logTarsus + Primary.Lifestyle, test = "F")
m2<-update(m1, formula = .~. + Primary.Lifestyle)
summary(m2)
#overall still significant model multiple r2 inscreading
add1(m2, scope = .~. +logRS + Migration +Trophic.Level + logTarsus + Primary.Lifestyle, test = "F")
#trophic highest f value,
m3<-update(m2, formula = .~. + Trophoic.Level)
m3
summary(m3)
#still significant cuz its getting larger
#intercept only model, which predictor adds the most explanitory value. until adding new predictors does not add more explanitory value
add1(m3, scope = .~. +logRS + Migration +Trophic.Level +logTarsus + Primary.Lifestyle, test = "F")
#trophic highest f value,
m4<-update(m3, formula = .~. + logRS)
summary(m4)
In class Backwards selection: ####```{r}
m_full <-lm(data=d_new, logBeak ~1 + logRS +logTarsus + Migration +Trophic.Level + Primary.Lifestyle)
drop1(m_full, test= “F”)
#since migration is the lowest F
m2 <-update(m_full, .~. -Migration) summary(m2)
drop1(m2, test= “F”)
m3 <-update(m2, .~. - logRS)
summary(m3)
drop1(m3, test= “F”)
m4 <- update(m3, .~. )
library(MASS)
highest AIC = best data
April 3
###```{r}
d_new <- d %>%
drop_na(logBeak, logRS, Migration, Trophic.Level, logTarsus, Primary.Lifestyle)
m_full <- lm(data= d_new, relBeak ~ logRS + relTarsus + Migration + Trophic.Level + Primary.Lifestyle)
s <- stepAIC(m_full, scope=.~., direction = "both", trace = TRUE)
s<- stepAIC(m_null, scope = .~.)
####```{r}
library(MuMIn) m_full <- lm(data= d_new, relBeak ~ logRS + Migration + Trophic.Level + relTarsus + Primary.Lifestyle, na.action = na.fail) mods <- dredge(m_full) class(mods) mods.res <- get.models(mods, subset=delta <=4) #returns top models where delta.aicc <=4
mods.avg<-summary(model.avg(mods, subset=delta<= 4, fit = TRUE)) #returns top
mods.avg<-summary(model.avg(mods, subset = cumsum))
#mods.res$31
confint(mods.avg) plot(mods.avg, full = TRUE) plot(mods.avg, full = FALSE)
mods.avg <- summary (model.avg(mods, subset=delta <=4, fit = TRUE)) mods
####```{r}
f <- "https://raw.githubusercontent.com/difiore/ada-2024-datasets/main/Mammal_lifehistories_v2.txt"
d<- read_tsv(f, col_names= TRUE)
d[d==-999.00] <- NA
d<- dplyr::select(d, -`refs`)
d<- dplyr::select(d, -`litter size`)
colnames(d)
cols <- c("mass(g)", "gestation(mo)", "newborn(g)","weaning(mo)", "wean mass(g)","AFR(mo)","max. life(mo)","litters/year")
d <- d %>% mutate(across(all_of(cols), log))
#replace 999
# drop refs and litter size variables
#log transform all other variables
#regress gestation, weaning, age at firs reproduction, and max lifespan on mass and add residuals to the dataframe (hint na.action=na.exclude)
#plot residuals of max lifespan in relation to order - which orders have the highest relative newborn mass
#which order have the highest residual lifespan